WordNet-Affect#

Affective (emotional) labels that are hierarchically đŸ§Ÿ organised based on WordNet synsets.#

WordNet-Affect summary

Composition:

  • Approximately 1.5k n-gram lexicons

  • Extensively and granularly covers emotional concepts

  • Multi-Class Multi-Label scheme with nearly 300 labels (note that it is more of a within-class under four labels, negative, positive, neutral and ambiguous)

Creation Methodology:

  • Began with an initial set of affective adjectives, expanded by adding correlated nouns, verbs and adverbs to form the ‘Affect’ dictionary

  • Expanded ‘Affect’ into ‘Affective-Core’ by adding WordNet synsets containing at least one of the ‘Affect’ terms.

  • Extended ‘Affective-Core’ into ‘‘WordNet-Affect’ by applying WordNet relations

Evaluation: While the affective labels (‘a-labels’) were inspired by theories and categories from the works of Ortony et al. (1987), Elliot (1992), and Ekman (1992), the process of assigning these labels to synset relied on the subjective intuition of the authors without a rigorous methodology. This means the resulting labelled lexicons may have uncertain accuracy and consistency, as the labelling lacked concrete verification through further evaluation.

Usage Guidance: Enriches text analysis tasks by providing a granular emotional dimension. Useful for psychology and mental health. Access processed dictionary via sentibank.archive.load().dict(“WordNet_Affect_v2006”)

📋 Introduction#

Early research on organising emotion words focused on determining which terms genuinely represent emotions, in the belief that ‘it is possible to infer emotion properties from the emotion words’ (D’Urso and Trentin, 1998, cited in Valitutti, Strapparava and Stock, 2004). Most of the time, emotion words are collected from different sources of text (i.e dictionary or newspaper) and a set of affective dimensions were extracted using techniques such as factorial analysis.

According to Strapparava and Valitutti (2004), such an approach was insufficient. Strapparava and Valitutti (2004) highlighted a problem outlined by Watson and Tellegen (1985) that two sentiment dimensions - Arousal (‘excited & tense’ versus ‘relaxed & sleepy’) and Valence (‘happy & glad’ versus ‘sad & upset’) - are simply not sufficient to individuate the whole spectrum of emotional concepts. Moreover, the techniques used to extract sentiments do not allow us to distinguish different senses of the same word. For example, the word “surprise” may refer to a feeling (the astonishment you feel when something totally unexpected happens to you), to an event (a sudden unexpected event), or to an action (the act of surprising someone).

Motivated by the limitations described, Strapparava and Valitutti (2004) constructed WordNet-Affect by selecting and labelling WordNet synsets. Comprehending the fundamental principles of WordNet synsets is therefore crucial before delving into how the WordNet_Affect lexicon was developed.

WordNet’s synsets#

Developed at Princeton University by George Miller (Miller, 1995; Fellbaum, 1998), WordNet provides a large amount of conceptual distinctions through synsets. Synset is simply a group of words (“synonyms”) that are considered semantically equivalent - words that denote the same concept and are interchangeable in many contexts (Fellbaum, 2005; WordNet, n.d)[1].

Each synset is labelled with a part-of-speech tag denoting its primary word type: Noun, Verb, Adjective, and Adverb. According to Valitutti, Strapparava and Stock (2004), classifying under these four primary tags is ‘consistent with the psycholinguistic evidence that nouns, verbs, adjectives and adverbs are independently organised in human semantic memory’.

While a synset may contain mixed parts-of-speech in its set of cognitive synonyms, the POS tag indicates the predominant type. For example, a synset = [‘house#n#1’, ‘home#n#1’, ‘household#n#1’, ‘menage#n#1’, and ‘home#v#1’] is classified as a noun synset, even though such a synset contains a verb ‘home’ (as a verb meaning to provide with, or send to, a home).

📚 Original Dictionary#

ver.2004#

The structure of WordNet-Affect drew influence from WordNet-Domain (Magnini & Cavaglia, 2000), a dictionary where synsets are annotated with at least one domain label (e.g. politics) selected from approximately 200 hierarchically organised options. Similarly, WordNet-Affect utilises a hierarchical structure of affective domain labels assigned to synsets. Strapparava and Valitutti (2004) and Valitutti, Strapparava and Stock (2004) labelled synsets by the following two steps: 1. Identification of Affective-Core; and 2. Expanding Affective-Core with WordNet.

  1. Identification of Affective-Core Dictionary

The initial ‘Affect’ dictionary was created by manually compiling an initial set of 517 affective adjectives. This was expanded by adding 539 nouns, 238 verbs, and 15 adverbs that were intuitively correlated with the adjectives, resulting in 1,903 terms related to mental and emotional states.

Following theories of emotion representation[2], affective attribute labels (‘a-labels’) were assigned to each lexicon entry, drawing information from psychology resources on emotions including works by Ortony et al. (1987), Elliot (1992), and Ekman (1992). Any remaining unspecified information was labelled intuitively. The complete list of ‘a-labels’ is as follows:

a-Label

Description

Examples

EMOTION (emo)

The only pure emotional synsets, directly referring to emotional states and processes

noun “anger#1”, verb “fear#1”

MOOD (moo)

Affective, but not emotional, synsets

noun “animosity#1”, adjective “amiable#1”

TRAIT (tra)

Traits that influence attitude to have affective relations to events

noun “aggressiveness#1”, adjective “competitive#1”

COGNITIVE STATE (cog)

Cognitive states that are often related to affect, but form a distinct category

noun “confusion#2”, adjective “dazed#2”

PHYSICAL STATE (phy)

Physical states that are often related to affect, but form a distinct category

noun “illness#1”, adjective “all_in#1”

EDONIC SIGNAL (eds)

Two affective state, Pleasure and Pain

noun “hurt#3”, noun “suffering#4”

EMOTION-ELICITING SITUATION(sit)

The causes of emotional states, which may be events and behaviours

noun “awkwardness#3”, adjective “out_of_danger#1”

EMOTIONAL RESPONSE(res)

The consequences of emotions, which may consist of behaviours, somatic changes or facial expressions

noun “cold_sweat#1”, verb “tremble#2”

BEHAVIOUR(beh)

Behaviours that are either causes or effect of affective states

noun “offense#1”, adjective “inhibited#1”

ATTITUDE(att)

Complex mental states involving beliefs, feelings, values and dispositions to act in a certain ways

noun “intolerance#1”, noun “defensive#1”

SENSATION(sen)

An unelaborated elementary awareness of simulation

noun “coldness#1”, verb “feel#3”

The authors then expanded the 1,903 ‘Affect’ lexicon entries by selecting WordNet synsets containing at least one term from the ‘Affect’ dictionary (excluding any non-emotional synsets). They evaluated the coherence of the affective information by checking for synonyms with incompatible values, finding the synsets effectively represented affective concepts. This expanded dictionary was termed the ‘Affective-Core’.

  1. Expanding Affective-Core Dictionary with WordNet

The ‘Affective-Core’ dictionary was further extended by applying all existing WordNet relations to its lexicons, including both lexical (between words) and semantic (between synsets) relations. Strapparava and Valitutti (2004) and Valitutti, Strapparava and Stock (2004) examined whether each relation preserved affective meaning, and revealed relations that reliably preserved affective meaning - antonymy, similarity, derived-from, pertains-to, attribute and also-see - while some relations only partially preserved affective meanings - hyperonymy, entailment, causes and verb-group. The number of WordNet relations obtained is as follows (note that the relations gathered by SV (2004) were later refined and revised by Valitutti, Strapparava and Stock (2004)):

Strapparava and Valitutti (2004)

#Nouns

#Adjectives

#Verbs

#Adverbs

#Total

similar-to

-

573

-

-

573

antonym

57

83

23

6

169

pertains-to (direct)

2

-

-

-

2

pertains-to (inverse)

-

16

-

-

16

derived-from (direct)

-

12

-

-

12

derived-from (inverse)

-

-

-

308

308

also-see

-

138

11

-

149

attribute

-

38

-

-

38

is-value-of

30

-

-

-

30

Total

89

860

34

314

1297


Valitutti, Strapparava and Stock (2004)

#Nouns

#Adjectives

#Verbs

#Adverbs

#Total

similar-to

-

668

-

-

668

antonym

64

106

23

6

199

pertains-to (direct)

-

2

-

-

2

pertains-to (inverse)

16

-

-

-

16

derived-from (direct)

-

-

-

12

12

derived-from (inverse)

-

308

-

-

308

also-see

-

148

11

0

159

attribute

38

-

-

-

38

is-value-of

-

30

-

-

30

Both studies manually filtered relations before inclusion in the final ‘WordNet-Affect’ dictionary. The composition of the revised WordNet-Affect is as shown:

Strapparava and Valitutti (2004)

#Nouns

#Adjectives

#Verbs

#Adverbs

#Total

Synsets

763

1462

322

327

2874

Words

1285

2293

657

552

4787


Valitutti, Strapparava and Stock (2004)

#Nouns

#Adjectives

#Verbs

#Adverbs

#Total

Synsets

535

557

200

22

1314

Words

1336

1472

592

40

3340

ver.2006#

Building upon the existing WordNet-Affect dictionary, Strapparava, Valitutti and Stock (2006) further developed it by adding more specialised labelling to synsets categorised with the ‘a-label’ EMOTION. For synsets labelled with the broad EMOTION tag, they defined four additional sub-labels: POSITIVE, NEGATIVE, AMBIGUOUS, and NEUTRAL. These were used to indicate the valence of the emotional synset - whether it conveyed a positive emotion like joy, a negative one like anger, a vague or unclear one, or a neutral emotional state. By breaking down the broad EMOTION label into these more specific valence-based categories, Strapparava, Valitutti and Stock (2006) enabled more nuanced semantic analysis and representation of the emotional content in text through the WordNet-Affect resource. The addition of the four labels to EMOTION synsets thus represented a valuable advancement in the continued enrichment of the WordNet-Affect for affect sensing applications.

Positive

Negative

Ambiguous

Neutral

Total

Synsets

97

156

20

7

280

In short, Strapparava, Valitutti and Stock (2006) further developed WordNet-Affect by adding more granular labels of emotion valence to synsets initially identified as conveying emotion.

from sentibank import archive 

load = archive.load()
WN_Affect = load.origin("WordNet-Affect_v2006")
WordNet-Affect (Strapparava and Valitutti, 2004; Valitutti, Strapparava and Stock, 2004; Strapparava, Valitutti and Stock, 2006)
Part of Speech Synset Emotion
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đŸ§č Processed Dictionary#

First-Pass Processing#

Checking Label Alignment#

The attribute labels in the noun-synsets (‘a-synsets.xml’) were checked for alignment with the attribute hierarchy (‘a-hierarchy.xml’). It was unnecessary to check attribute labels for verb-, adjective- and adverb-synsets, as these synsets were semantically linked with appropriate noun synsets. Three noun synset labels -joy-pride, levity-gaiety, and general-gaiety- did not exist in the hierarchy. These non-existing labels were substituted with the closest matches: joy-pride became satisfaction-pride, levity-gaiety became playfulness, and general-gaiety became merriment.

Multi-Label Inheritance#

While each synset was originally labelled with one attribute, multiple inherited attributes can be traced in the sentiment hierarchy. For instance, peace belongs to tranquillity, which belongs to calmness, which finally belongs to positive-emotion. Thus, synset ‘peace’ inherits multi-labels [peace, tranquillity, calmness, positive-emotion]. All synsets with original label peace will inherit these sentiment labels.

Re-labelling Multi-Synset Words#

There are four major attribute categories: positive-emotion, negative-emotion, ambiguous-emotion, and neutral-emotion. Often, a word appears in multiple synsets with different attribute categories. And for these multi-synset words, four cases were considered and re-labelled: (i) Contradictory Emotions; (ii) Common Emotions; (iii) Equivocal Emotions; and (iv) Identical Emotions.

  1. Contradictory Emotions: Words included in synsets with contradictory sentiment labels were reclassified as having ambiguous emotion. For example, “suspense” appeared in synsets n#05583536 and n#05592642, labelled as positive-suspense and negative-suspense respectively. Therefore, “suspense” was relabeled as ambiguous-emotion.

  2. Common Emotions: Words included in synsets conveying similar sentiments were traced to their common parent emotion in the attribute hierarchy. For instance, “sorrow” occurred in synsets n#05602279 and n#05601413, tagged with regret-sorrow and lost-sorrow. Both synsets share the parent emotion sorrow in the hierarchy. And thus, “sorrow” was labelled as [negative-emotion, sadness, sorrow].

  3. Equivocal Emotions: Words included in multiple synsets were labelled as ambiguous or neutral emotion if they appeared in both a positive/negative synset and an ambiguous/neutral synset. For example, “languor” was found in synset n#05563906 linked to neutral-languor and n#05587782 linked to positive-languor. Since “languor” occurred in both a neutral and a positive synset, it was tagged with the more conservative neutral-emotion label rather than positive-emotion. In general, if a word was included in an ambiguous or neutral synset, it was marked with an ambiguous or neutral emotion tag.

  4. Identical Emotions: Words labelled with identical sets of emotions were trivially labelled with such sets.

In summary: (i) 4 noun-, 1 adjective-, and 2 verb-synsets had contradictory sets of labels; (ii) 15 noun-, 48 adjective-, 18 verb-, and 1 adverb-synsets had a common set of labels; (iii) 4 noun-, 1 adjective-, and 5 verb-synsets had an equivocal set of labels; and (iv) 1 noun-, 40 adjective-, 23 verb-, and 8 adverb-synsets had an identical set of labels. Table below shows the entire set of lexicons appeared in multiple synsets[3]:

Contradictory Emotions

Common Emotions

Equivocal Emotions

Identical Emotions

Noun

‘suspense’, ‘tenderness’, ‘concern’, ‘chill’

‘sorrow’, ‘intimidation’, ‘horror’, ‘glee’, ‘gaiety’, ‘indifference’, ‘uneasiness’, ‘fear’, ‘thrill’, ‘awe’, ‘ardor’, ‘ardour’, ‘dismay’, ‘fondness’, ‘warmheartedness’

‘languor’, ‘hope’, ‘phlegm’, ‘admiration’

‘pride’

Adjective

‘caring’

‘misanthropic’, ‘hideous’, ‘embarrassed’, ‘vexing’, ‘frustrated’, ‘misanthropical’, ‘blue’, ‘upset’, ‘discouraging’, ‘miserable’, ‘self-satisfied’, ‘afraid’, ‘discouraged’, ‘shamed’, ‘calm’, ‘hangdog’, ‘contrite’, ‘frightful’, ‘elated’, ‘dispiriting’, ‘distressed’, ‘malevolent’, ‘tranquil’, ‘wretched’, ‘loathsome’, ‘merry’, ‘anxious’, ‘shy’, ‘exhilarating’, ‘sorry’, ‘jubilant’, ‘happy’, ‘stunned’, ‘mortifying’, ‘discomfited’, ‘nervous’, ‘astonishing’, ‘sympathetic’, ‘covetous’, ‘gay’, ‘mournful’, ‘diffident’, ‘frightened’, ‘terrible’, ‘apathetic’, ‘fearful’, ‘envious’, ‘unhappy’

‘awful’

‘depressing’, ‘forlorn’, ‘amorous’, ‘hostile’, ‘disgraceful’, ‘calming’, ‘timid’, ‘woeful’, ‘glad’, ‘satisfying’, ‘stupefying’, ‘captivated’, ‘shamefaced’, ‘fearless’, ‘dismal’, ‘shameful’, ‘oppressed’, ‘awed’, ‘tender’, ‘embarrassing’, ‘content(p)’, ‘repulsive’, ‘cool’, ‘charmed’, ‘apprehensive’, ‘unfriendly’, ‘annoyed’, ‘sad’, ‘admirable’, ‘compassionate’, ‘grim’, ‘indifferent’, ‘gloomy’, ‘jealous’, ‘pensive’, ‘stupefied’, ‘joyful’, ‘horrific’, ‘alienated’, ‘intimidated’

Verb

‘chill’, ‘worry’

‘rag’, ‘brood’, ‘dismay’, ‘still’, ‘joy’, ‘gladden’, ‘disconcert’, ‘alarm’, ‘revolt’, ‘stew’, ‘amaze’, ‘grieve’, ‘disgust’, ‘stir up’, ‘exasperate’, ‘satisfy’, ‘exult’, ‘rejoice’

‘anticipate’, ‘fear’, ‘hope’, ‘stun’, ‘gravel’

‘cheer up’, ‘panic’, ‘nauseate’, ‘sicken’, ‘stir’, ‘anger’, ‘sulk’, ‘shame’, ‘revere’, ‘like’, ‘scare’, ‘envy’, ‘repel’, ‘horrify’, ‘cheer’, ‘congratulate’, ‘triumph’, ‘stupefy’, ‘love’, ‘reassure’, ‘stupify’, ‘pride’, ‘content’

Adverb

-

‘sadly’

-

‘hopelessly’, ‘surprisingly’, ‘disgustedly’, ‘resignedly’, ‘jealously’, ‘exuberantly’, ‘sorrowfully’, ‘hopefully’

After relabelling, there were 539 lexicons derived from the noun-synsets, 609 from the adjective-synsets, 298 from the verb-synsets and 207 from the adverb-synsets.

Re-Labelling Duplicates between Noun, Adjective, Verb and Adverb#

After re-labeling multi-synset words, duplicates between the lexicons derived from noun-, adjective-, verb-, and adverb-synsets were considered.

First, merging noun and adjective synsets yielded 4 duplicates conveying identical, common, and equivocal emotions. Re-labeling these duplicates produced 1,144 lexicons. Next, merging with verb synsets identified 54 duplicates, mostly identical or common emotions, which were re-labeled to give 1,384 lexicons. Finally, merging with adverb synsets found just identical emotions. The final WordNet-Affect dictionary resulted in 1,588 unique lexicons after re-labeling all duplicates to resolve contradictory labels and consolidate identical or common emotions.

Note#

[1] According to Valitutti, Strapparava and Stock (2004), WordNet can be ‘described as a “lexical matrix” with two dimensions: a dimension for lexical relations - relations holding among words - and a dimension for conceptual/semantic relations - which hold among senses (the synsets)’ (see, p.67).

WordNet Relations include: Synonymy/Antonymy involves recognising word similarity/difference to build synsets representing meaning. Hyperonymy/Hyponymy represent ‘is-a’ relations between meanings, providing the organising principle for noun hierarchies and identifying coordinate terms (i.e The synset {apple tree} is-a hyponym of the synset {tree}, which in turn is-a hyponym of {plant}). Meronymy/Holonymy represent part-whole relations between synsets, including member-of (i.e {tree} is a member of {forest}), part-of (i.e {kitchen} is a part of {apartment}), and substance-of (i.e {hydrogen} is a substance of {water}) Entailment defines the verb hierarchy based on logical implications. Proposition P “entails” a proposition Q (i.e The synset {snore} implies the synset {sleep}). Troponymy is entailment between verbs (i.e The synset {walk} is a troponym of the synset {move}).

[2] WordNet-Affect was influenced by three major theories of emotion representation: discrete theories viewing emotions as specific cognitive states (Elliot, 1992), basic emotion theories (Ekman, 1992), and dimensional theories (Ortony et al., 1987).

In particular, WordNet-Affect majorly drew on Ortony et al.’s (1987) multidimensional model involving eight categories: (i) Emotional terms (i.e ‘anger’); (ii) Non-emotional affective terms (i.e ‘mood’); (iii) Non-affective mental state terms (i.e ‘doubt); (iv) Personality traits (i.e ‘competitive’); (v) Behaviours (i.e ‘cry’); (vi) Attitudes (i.e ‘scepticism’); (vii) Physical or bodily states (i.e ‘pleasure’); and (viii) Feelings (i.e pleasure or pain)

[3]

Nouns

Duplicates

Synsets

Elements

Sentiment

suspense

05583536

[‘suspense’]

[‘positive-emotion’, ‘anticipation’, ‘positive-expectation’, ‘positive-suspense’]

05592642

[‘suspense’]

[‘apprehension’, ‘negative-fear’, ‘negative-emotion’, ‘negative-suspense’]

sorrow

05602279

[‘sorrow’, ‘regret’, ‘ruefulness’]

[‘sorrow’, ‘negative-emotion’, ‘sadness’, ‘regret-sorrow’]

05601413

[‘sorrow’]

[‘sorrow’, ‘negative-emotion’, ‘sadness’, ‘lost-sorrow’]

tenderness

05615833

[‘tenderness’, ‘tenderheartedness’]

[‘compassion’, ‘negative-emotion’, ‘tenderness’]

05579029

[‘softheartedness’, ‘tenderness’]

[‘sympathy’, ‘positive-emotion’, ‘positive-concern’, ‘liking’, ‘softheartedness’]

05608483

[‘affection’, ‘affectionateness’, ‘fondness’, ‘tenderness’, ‘heart’, ‘warmheartedness’]

[‘positive-emotion’, ‘affection’]

pride

05599226

[‘pride’]

[‘joy’, ‘positive-emotion’, ‘satisfaction’, ‘contentment’, ‘satisfaction-pride’]

05581430

[‘pride’, ‘pridefulness’]

[‘joy’, ‘positive-emotion’, ‘satisfaction’, ‘contentment’, ‘satisfaction-pride’]

languor

05563906

[‘languor’, ‘lassitude’, ‘listlessness’]

[‘neutral-emotion’, ‘apathy’, ‘neutral-languor’]

05587782

[‘languor’, ‘dreaminess’]

[‘calmness’, ‘positive-emotion’, ‘easiness’, ‘tranquillity’, ‘positive-languor’]

intimidation

05593389

[‘intimidation’]

[‘negative-fear’, ‘negative-emotion’, ‘fear-intimidation’]

05607353

[‘intimidation’]

[‘despair’, ‘negative-emotion’, ‘discouragement’, ‘despair-intimidation’]

horror

05577970

[‘repugnance’, ‘repulsion’, ‘revulsion’, ‘horror’]

[‘disgust’, ‘general-dislike’, ‘dislike’, ‘negative-emotion’, ‘repugnance’]

05591212

[‘horror’]

[‘negative-fear’, ‘negative-emotion’, ‘horror’]

hope

05583906

[‘hope’]

[‘ambiguous-expectation’, ‘ambiguous-emotion’, ‘ambiguous-hope’]

05605928

[‘hope’]

[‘positive-emotion’, ‘positive-hope’]

glee

05597503

[‘hilarity’, ‘mirth’, ‘mirthfulness’, ‘glee’, ‘gleefulness’]

[‘joy’, ‘positive-emotion’, ‘merriment’, ‘hilarity’]

05599822

[‘gloat’, ‘gloating’, ‘glee’, ‘schadenfreude’]

[‘joy’, ‘positive-emotion’, ‘satisfaction’, ‘contentment’, ‘gloat’]

gaiety

05584176

[‘gaiety’, ‘playfulness’]

[‘levity’, ‘positive-emotion’, ‘playfulness’]

05597371

[‘gaiety’, ‘merriment’]

[‘positive-emotion’, ‘joy’, ‘merriment’]

indifference

05579322

[‘indifference’]

[‘neutral-emotion’, ‘neutral-unconcern’, ‘indifference’]

05563705

[‘emotionlessness’, ‘impassivity’, ‘impassiveness’, ‘phlegm’, ‘indifference’, ‘stolidity’, ‘unemotionality’]

[‘neutral-emotion’, ‘apathy’, ‘emotionlessness’]

uneasiness

05580651

[‘self-consciousness’, ‘uneasiness’, ‘uncomfortableness’]

[‘negative-emotion’, ‘embarrassment’, ‘shame’, ‘self-consciousness’]

05594446

[‘edginess’, ‘uneasiness’, ‘inquietude’, ‘disquietude’]

[‘anxiety’, ‘negative-emotion’, ‘edginess’]

phlegm

05563705

[‘emotionlessness’, ‘impassivity’, ‘impassiveness’, ‘phlegm’, ‘indifference’, ‘stolidity’, ‘unemotionality’]

[‘neutral-emotion’, ‘apathy’, ‘emotionlessness’]

05587152

[‘coolness’, ‘imperturbability’, ‘imperturbableness’, ‘phlegm’]

[‘calmness’, ‘positive-emotion’, ‘coolness’]

concern

05578595

[‘concern’]

[‘sympathy’, ‘positive-emotion’, ‘liking’, ‘positive-concern’]

05594044

[‘concern’, ‘care’, ‘fear’]

[‘anxiety’, ‘negative-emotion’, ‘negative-concern’]

fear

05594044

[‘concern’, ‘care’, ‘fear’]

[‘anxiety’, ‘negative-emotion’, ‘negative-concern’]

05590260

[‘fear’, ‘fearfulness’, ‘fright’]

[‘negative-emotion’, ‘negative-fear’]

chill

05591021

[‘frisson’, ‘shiver’, ‘chill’, ‘quiver’, ‘shudder’, ‘thrill’, ‘tingle’]

[‘positive-emotion’, ‘positive-fear’, ‘frisson’]

05603115

[‘chill’, ‘pall’]

[‘apprehension’, ‘negative-fear’, ‘negative-emotion’, ‘chill’]

thrill

05591021

[‘frisson’, ‘shiver’, ‘chill’, ‘quiver’, ‘shudder’, ‘thrill’, ‘tingle’]

[‘positive-emotion’, ‘positive-fear’, ‘frisson’]

05596946

[‘bang’, ‘charge’, ‘rush’, ‘flush’, ‘thrill’, ‘kick’]

[‘joy’, ‘positive-emotion’, ‘exhilaration’, ‘bang’]

awe

05591481

[‘reverence’, ‘awe’, ‘veneration’]

[‘ambiguous-fear’, ‘ambiguous-emotion’, ‘reverence’]

05582729

[‘awe’]

[‘wonder’, ‘astonishment’, ‘surprise’, ‘ambiguous-emotion’, ‘awe’]

ardor & ardour

05608042

[‘ardor’, ‘ardour’]

[‘positive-emotion’, ‘love’, ‘love-ardor’]

05616909

[‘ardor’, ‘ardour’, ‘elan’, ‘zeal’]

[‘enthusiasm’, ‘positive-emotion’, ‘eagerness’, ‘enthusiasm-ardor’]

dismay

05607201

[‘discouragement’, ‘disheartenment’, ‘dismay’]

[‘despair’, ‘negative-emotion’, ‘discouragement’]

05590744

[‘alarm’, ‘dismay’, ‘consternation’]

[‘negative-fear’, ‘negative-emotion’, ‘alarm’]

fondness

05573609

[‘fondness’, ‘fancy’, ‘partiality’]

[‘positive-emotion’, ‘liking’, ‘fondness’]

05608483

[‘affection’, ‘affectionateness’, ‘fondness’, ‘tenderness’, ‘heart’, ‘warmheartedness’]

[‘positive-emotion’, ‘affection’]

warmheartedness

05609617

[‘warmheartedness’, ‘warmth’]

[‘positive-emotion’, ‘lovingness’, ‘love’, ‘warmheartedness’]

05608483

[‘affection’, ‘affectionateness’, ‘fondness’, ‘tenderness’, ‘heart’, ‘warmheartedness’]

[‘positive-emotion’, ‘affection’]

admiration

05582577

[‘wonder’, ‘wonderment’, ‘admiration’]

[‘astonishment’, ‘surprise’, ‘ambiguous-emotion’, ‘wonder’]

05575841

[‘admiration’, ‘esteem’]

[‘positive-emotion’, ‘liking’, ‘admiration’]

Adjective

Duplicates

Synsets

Elements

Sentiment

misanthropic

02344950

[‘cynical’, ‘misanthropic’, ‘misanthropical’]

[‘pessimism’, ‘negative-emotion’, ‘despair’, ‘cynicism’]

01089513

[‘misanthropic’, ‘misanthropical’]

[‘general-dislike’, ‘negative-emotion’, ‘hate’, ‘misanthropy’]

hideous

01567385

[‘hideous’, ‘horrid’, ‘horrific’, ‘outrageous’]

[‘negative-emotion’, ‘negative-fear’, ‘horror’]

00218804

[‘hideous’, ‘repulsive’]

[‘general-dislike’, ‘negative-emotion’, ‘dislike’, ‘disgust’, ‘repugnance’]

embarrassed

00497363

[‘abashed’, ‘chagrined’, ‘embarrassed’]

[‘negative-emotion’, ‘shame’, ‘embarrassment’]

00448253

[‘discomfited’, ‘embarrassed’]

[‘negative-emotion’, ‘shame’, ‘embarrassment’]

00156835

[‘embarrassed’, ‘humiliated’, ‘mortified’]

[‘negative-emotion’, ‘humility’]

depressing

01309194

[‘depressing’, ‘depressive’, ‘gloomy’, ‘saddening’]

[‘negative-emotion’, ‘melancholy’, ‘sadness’, ‘gloom’]

00353838

[‘blue’, ‘dark’, ‘depressing’, ‘disconsolate’, ‘dismal’, ‘dispiriting’, ‘gloomy’, ‘grim’]

[‘negative-emotion’, ‘melancholy’, ‘sadness’, ‘gloom’]

vexing

00092842

[‘annoying’, ‘bothersome’, ‘galling’, ‘irritating’, ‘nettlesome’, ‘pesky’, ‘pestering’, ‘pestiferous’, ‘plaguy’, ‘plaguey’, ‘teasing’, ‘vexatious’, ‘vexing’]

[‘general-dislike’, ‘negative-emotion’, ‘anger’, ‘annoyance’]

01737503

[‘exasperating’, ‘infuriating’, ‘maddening’, ‘vexing’]

[‘general-dislike’, ‘negative-emotion’, ‘anger’, ‘infuriation’]

forlorn

01179297

[‘forlorn’]

[‘negative-emotion’, ‘sadness’, ‘forlornness’]

00997111

[‘desolate’, ‘forlorn’, ‘godforsaken’, ‘lorn’]

[‘negative-emotion’, ‘sadness’, ‘forlornness’]

frustrated

02222607

[‘defeated’, ‘disappointed’, ‘discomfited’, ‘foiled’, ‘frustrated’, ‘thwarted’]

[‘resignation’, ‘negative-emotion’, ‘despair’, ‘defeatism’]

00659470

[‘baffled’, ‘balked’, ‘discouraged’, ‘frustrated’]

[‘annoyance’, ‘general-dislike’, ‘negative-emotion’, ‘anger’, ‘frustration’]

misanthropical

02344950

[‘cynical’, ‘misanthropic’, ‘misanthropical’]

[‘pessimism’, ‘negative-emotion’, ‘despair’, ‘cynicism’]

01089513

[‘misanthropic’, ‘misanthropical’]

[‘general-dislike’, ‘negative-emotion’, ‘hate’, ‘misanthropy’]

blue

00669611

[‘blue’, ‘depressed’, ‘dispirited’, ‘down(p)’, ‘downcast’, ‘downhearted’, ‘low’, ‘low-spirited’]

[‘negative-emotion’, ‘sadness’, ‘downheartedness’]

00353838

[‘blue’, ‘dark’, ‘depressing’, ‘disconsolate’, ‘dismal’, ‘dispiriting’, ‘gloomy’, ‘grim’]

[‘negative-emotion’, ‘melancholy’, ‘sadness’, ‘gloom’]

upset

01610144

[‘broken’, ‘confused’, ‘disordered’, ‘upset’]

[‘embarrassment’, ‘shame’, ‘negative-emotion’, ‘confusion’]

02338153

[‘disquieted’, ‘distressed’, ‘disturbed’, ‘upset’, ‘worried’]

[‘negative-emotion’, ‘anxiety’, ‘distress’]

amorous

01404786

[‘amatory’, ‘amorous’, ‘romantic’]

[‘positive-emotion’, ‘love’, ‘amorousness’]

01404669

[‘amative’, ‘amorous’]

[‘positive-emotion’, ‘love’, ‘amorousness’]

discouraging

01706499

[‘discouraging’]

[‘general-dislike’, ‘negative-emotion’, ‘dislike’, ‘disapproval’]

00825624

[‘discouraging’]

[‘negative-emotion’, ‘despair’, ‘discouragement’]

miserable

01000655

[‘hapless’, ‘miserable’, ‘misfortunate’, ‘pathetic’, ‘piteous’, ‘pitiable’, ‘pitiful’, ‘poor’, ‘wretched’]

[‘negative-emotion’, ‘sadness’, ‘misery’]

01102092

[‘miserable’, ‘suffering’, ‘wretched’]

[‘negative-emotion’, ‘sadness’, ‘misery’]

02235465

[‘deplorable’, ‘execrable’, ‘miserable’, ‘woeful’, ‘wretched’]

[‘negative-emotion’, ‘sadness’, ‘lost-sorrow’, ‘sorrow’, ‘mournfulness’, ‘woe’]

self-satisfied

00556568

[‘complacent’, ‘self-satisfied’]

[‘positive-emotion’, ‘satisfaction’, ‘contentment’, ‘joy’, ‘complacency’]

00557191

[‘smug’, ‘self-satisfied’]

[‘positive-emotion’, ‘satisfaction’, ‘contentment’, ‘complacency’, ‘joy’, ‘smugness’]

hostile

01024648

[‘hostile’]

[‘general-dislike’, ‘negative-emotion’, ‘hate’, ‘hostility’]

01193200

[‘hostile’]

[‘general-dislike’, ‘negative-emotion’, ‘hate’, ‘hostility’]

afraid

01240635

[‘afraid’]

[‘general-dislike’, ‘negative-emotion’, ‘dislike’, ‘antipathy’]

00509796

[‘afraid’]

[‘negative-emotion’, ‘anxiety’, ‘distress’]

discouraged

01605795

[‘demoralized’, ‘discouraged’, ‘disheartened’]

[‘negative-emotion’, ‘despair’, ‘discouragement’]

00659470

[‘baffled’, ‘balked’, ‘discouraged’, ‘frustrated’]

[‘annoyance’, ‘general-dislike’, ‘negative-emotion’, ‘anger’, ‘frustration’]

disgraceful

01486036

[‘disgraceful’, ‘scandalous’, ‘shameful’, ‘shocking’]

[‘negative-emotion’, ‘shame’]

01176593

[‘black’, ‘disgraceful’, ‘ignominious’, ‘inglorious’, ‘opprobrious’, ‘shameful’]

[‘negative-emotion’, ‘shame’]

shamed

00156728

[‘discredited’, ‘disgraced’, ‘dishonored’, ‘shamed’]

[‘negative-emotion’, ‘shame’]

00157147

[‘guilty’, ‘hangdog’, ‘shamefaced’, ‘shamed’]

[‘embarrassment’, ‘shame’, ‘negative-emotion’, ‘shamefacedness’]

calming

00196824

[‘assuasive’, ‘calming’, ‘pacifying’, ‘soothing’]

[‘positive-emotion’, ‘calmness’]

00196250

[‘calming’, ‘lulling’, ‘quietening’]

[‘positive-emotion’, ‘calmness’]

calm

01678759

[‘calm’, ‘serene’, ‘tranquil’]

[‘positive-emotion’, ‘calmness’]

00495682

[‘calm’, ‘unagitated’]

[‘calmness’, ‘positive-emotion’, ‘tranquillity’]

timid

00331296

[‘diffident’, ‘shy’, ‘timid’, ‘unsure’]

[‘negative-emotion’, ‘negative-fear’, ‘timidity’]

00248123

[‘timid’]

[‘negative-emotion’, ‘negative-fear’, ‘timidity’]

hangdog

00157147

[‘guilty’, ‘hangdog’, ‘shamefaced’, ‘shamed’]

[‘embarrassment’, ‘shame’, ‘negative-emotion’, ‘shamefacedness’]

00082247

[‘browbeaten’, ‘bullied’, ‘cowed’, ‘hangdog’, ‘intimidated’]

[‘negative-emotion’, ‘negative-fear’, ‘fear-intimidation’]

woeful

02235465

[‘deplorable’, ‘execrable’, ‘miserable’, ‘woeful’, ‘wretched’]

[‘negative-emotion’, ‘sadness’, ‘lost-sorrow’, ‘sorrow’, ‘mournfulness’, ‘woe’]

01313374

[‘woebegone’, ‘woeful’]

[‘negative-emotion’, ‘sadness’, ‘lost-sorrow’, ‘sorrow’, ‘mournfulness’, ‘woe’]

glad

00352106

[‘beaming’, ‘glad’]

[‘positive-emotion’, ‘joy’, ‘gladness’]

01098277

[‘glad’]

[‘positive-emotion’, ‘joy’, ‘gladness’]

01308059

[‘glad’]

[‘positive-emotion’, ‘joy’, ‘gladness’]

contrite

01572491

[‘contrite’]

[‘negative-emotion’, ‘regret-sorrow’, ‘sadness’, ‘sorrow’, ‘attrition’]

01681118

[‘contrite’, ‘remorseful’, ‘rueful’, ‘sorry’]

[‘negative-emotion’, ‘sadness’, ‘sorrow’, ‘regret-sorrow’]

satisfying

02002844

[‘comforting’, ‘cheering’, ‘satisfying’]

[‘positive-emotion’, ‘contentment’, ‘joy’, ‘satisfaction’]

01944086

[‘appreciated’, ‘gratifying’, ‘pleasing’, ‘satisfying’]

[‘positive-emotion’, ‘contentment’, ‘joy’, ‘satisfaction’]

frightful

01079947

[‘fearful’, ‘frightful’, ‘terrible’]

[‘negative-emotion’, ‘negative-fear’]

00193347

[‘atrocious’, ‘frightful’, ‘horrifying’, ‘horrible’, ‘ugly’]

[‘negative-emotion’, ‘negative-fear’, ‘horror’]

stupefying

01230203

[‘astonishing’, ‘astounding’, ‘staggering’, ‘stupefying’]

[‘ambiguous-emotion’, ‘astonishment’, ‘surprise’, ‘stupefaction’]

00195880

[‘stupefying’]

[‘ambiguous-emotion’, ‘astonishment’, ‘surprise’, ‘stupefaction’]

elated

01313944

[‘elated’, ‘gleeful’, ‘joyful’, ‘jubilant’]

[‘positive-emotion’, ‘joy’]

00670286

[‘elated’]

[‘positive-emotion’, ‘joy’, ‘elation’]

captivated

00824085

[‘beguiled’, ‘captivated’, ‘charmed’, ‘delighted’, ‘enthralled’, ‘entranced’]

[‘liking’, ‘positive-emotion’, ‘captivation’]

01405004

[‘captivated’, ‘charmed’]

[‘liking’, ‘positive-emotion’, ‘captivation’]

shamefaced

00157147

[‘guilty’, ‘hangdog’, ‘shamefaced’, ‘shamed’]

[‘embarrassment’, ‘shame’, ‘negative-emotion’, ‘shamefacedness’]

00157347

[‘shamefaced’, ‘sheepish’]

[‘embarrassment’, ‘shame’, ‘negative-emotion’, ‘shamefacedness’]

fearless

01415513

[‘doughty’, ‘fearless’, ‘hardy’]

[‘positive-emotion’, ‘fearlessness’]

00084648

[‘unafraid(p)’, ‘fearless’]

[‘positive-emotion’, ‘fearlessness’]

dispiriting

00826026

[‘demoralizing’, ‘demoralising’, ‘disheartening’, ‘dispiriting’]

[‘negative-emotion’, ‘sadness’, ‘depression’, ‘demoralization’]

00353838

[‘blue’, ‘dark’, ‘depressing’, ‘disconsolate’, ‘dismal’, ‘dispiriting’, ‘gloomy’, ‘grim’]

[‘negative-emotion’, ‘melancholy’, ‘sadness’, ‘gloom’]

dismal

00353838

[‘blue’, ‘dark’, ‘depressing’, ‘disconsolate’, ‘dismal’, ‘dispiriting’, ‘gloomy’, ‘grim’]

[‘negative-emotion’, ‘melancholy’, ‘sadness’, ‘gloom’]

00354187

[‘dingy’, ‘dismal’, ‘drab’, ‘drear’, ‘dreary’, ‘gloomy’, ‘sorry’]

[‘negative-emotion’, ‘melancholy’, ‘sadness’, ‘gloom’]

distressed

02338153

[‘disquieted’, ‘distressed’, ‘disturbed’, ‘upset’, ‘worried’]

[‘negative-emotion’, ‘anxiety’, ‘distress’]

00863871

[‘dysphoric’, ‘distressed’, ‘unhappy’]

[‘negative-emotion’, ‘sadness’, ‘depression’, ‘dysphoria’]

malevolent

00220990

[‘malefic’, ‘malevolent’, ‘malign’, ‘evil’]

[‘general-dislike’, ‘negative-emotion’, ‘malevolence’, ‘hate’, ‘maleficence’]

00221675

[‘malevolent’, ‘malicious’]

[‘general-dislike’, ‘negative-emotion’, ‘malevolence’, ‘hate’, ‘malice’]

tranquil

01678759

[‘calm’, ‘serene’, ‘tranquil’]

[‘positive-emotion’, ‘calmness’]

00298525

[‘placid’, ‘quiet’, ‘still’, ‘tranquil’, ‘unruffled’]

[‘calmness’, ‘positive-emotion’, ‘placidity’]

shameful

01486036

[‘disgraceful’, ‘scandalous’, ‘shameful’, ‘shocking’]

[‘negative-emotion’, ‘shame’]

01176593

[‘black’, ‘disgraceful’, ‘ignominious’, ‘inglorious’, ‘opprobrious’, ‘shameful’]

[‘negative-emotion’, ‘shame’]

wretched

01000655

[‘hapless’, ‘miserable’, ‘misfortunate’, ‘pathetic’, ‘piteous’, ‘pitiable’, ‘pitiful’, ‘poor’, ‘wretched’]

[‘negative-emotion’, ‘sadness’, ‘misery’]

01102092

[‘miserable’, ‘suffering’, ‘wretched’]

[‘negative-emotion’, ‘sadness’, ‘misery’]

02235465

[‘deplorable’, ‘execrable’, ‘miserable’, ‘woeful’, ‘wretched’]

[‘negative-emotion’, ‘sadness’, ‘lost-sorrow’, ‘sorrow’, ‘mournfulness’, ‘woe’]

oppressed

00828302

[‘laden’, ‘oppressed’]

[‘negative-emotion’, ‘sadness’, ‘depression’, ‘oppression’]

02464962

[‘downtrodden’, ‘oppressed’, ‘persecuted’]

[‘negative-emotion’, ‘sadness’, ‘depression’, ‘oppression’]

awed

01943022

[‘awed’, ‘awestruck’, ‘awestricken’, ‘in awe of’]

[‘ambiguous-emotion’, ‘wonder’, ‘astonishment’, ‘surprise’, ‘awe’]

01940914

[‘awed’, ‘awful’]

[‘ambiguous-emotion’, ‘wonder’, ‘astonishment’, ‘surprise’, ‘awe’]

tender

01404342

[‘affectionate’, ‘caring’, ‘fond’, ‘lovesome’, ‘tender’, ‘warm’]

[‘negative-emotion’, ‘compassion’, ‘tenderness’]

02329048

[‘tender’]

[‘negative-emotion’, ‘compassion’, ‘tenderness’]

embarrassing

00711482

[‘awkward’, ‘embarrassing’, ‘sticky’, ‘unenviable’]

[‘negative-emotion’, ‘shame’, ‘embarrassment’]

01731686

[‘embarrassing’, ‘mortifying’]

[‘negative-emotion’, ‘shame’, ‘embarrassment’]

loathsome

01566899

[‘disgusting’, ‘disgustful’, ‘distasteful’, ‘foul’, ‘loathly’, ‘loathsome’, ‘repellent’, ‘repellant’, ‘revolting’, ‘wicked’, ‘yucky’]

[‘general-dislike’, ‘negative-emotion’, ‘dislike’, ‘disgust’]

02436303

[‘nauseating’, ‘nauseous’, ‘noisome’, ‘loathsome’, ‘offensive’, ‘sickening’, ‘vile’]

[‘general-dislike’, ‘negative-emotion’, ‘dislike’, ‘disgust’, ‘nausea’]

content(p)

00556147

[‘contented’, ‘content(p)’]

[‘positive-emotion’, ‘joy’, ‘contentment’]

00556743

[‘content(p)’, ‘happy’]

[‘positive-emotion’, ‘joy’, ‘contentment’]

repulsive

00218804

[‘hideous’, ‘repulsive’]

[‘general-dislike’, ‘negative-emotion’, ‘dislike’, ‘disgust’, ‘repugnance’]

01566364

[‘abhorrent’, ‘detestable’, ‘obscene’, ‘repugnant’, ‘repulsive’]

[‘general-dislike’, ‘negative-emotion’, ‘dislike’, ‘disgust’, ‘repugnance’]

merry

01314056

[‘gala(a)’, ‘gay’, ‘festal’, ‘festive’, ‘merry’]

[‘levity’, ‘positive-emotion’, ‘playfulness’]

01314288

[‘gay’, ‘jocund’, ‘jolly’, ‘jovial’, ‘merry’, ‘mirthful’]

[‘merriment’, ‘positive-emotion’, ‘joy’, ‘jollity’]

anxious

02337269

[‘anxious’, ‘nervous’, ‘uneasy’, ‘unquiet’]

[‘negative-emotion’, ‘anxiety’, ‘anxiousness’]

00783553

[‘anxious’, ‘apprehensive’]

[‘negative-emotion’, ‘negative-fear’, ‘apprehension’]

cool

00843913

[‘cold’, ‘cool’]

[‘calmness’, ‘positive-emotion’, ‘coolness’]

01557310

[‘cool’]

[‘calmness’, ‘positive-emotion’, ‘coolness’]

02409574

[‘cool’]

[‘calmness’, ‘positive-emotion’, ‘coolness’]

00873404

[‘cool’]

[‘calmness’, ‘positive-emotion’, ‘coolness’]

shy

00164569

[‘shy’]

[‘negative-emotion’, ‘negative-fear’, ‘timidity’, ‘shyness’]

00331296

[‘diffident’, ‘shy’, ‘timid’, ‘unsure’]

[‘negative-emotion’, ‘negative-fear’, ‘timidity’]

exhilarating

00874095

[‘elating’, ‘exhilarating’]

[‘positive-emotion’, ‘joy’, ‘elation’]

01302744

[‘exhilarating’, ‘stimulating’]

[‘positive-emotion’, ‘joy’, ‘exhilaration’]

sorry

01681118

[‘contrite’, ‘remorseful’, ‘rueful’, ‘sorry’]

[‘negative-emotion’, ‘sadness’, ‘sorrow’, ‘regret-sorrow’]

00354187

[‘dingy’, ‘dismal’, ‘drab’, ‘drear’, ‘dreary’, ‘gloomy’, ‘sorry’]

[‘negative-emotion’, ‘melancholy’, ‘sadness’, ‘gloom’]

01101631

[‘bad’, ‘sorry’]

[‘negative-emotion’, ‘sadness’, ‘sorrow’, ‘lost-sorrow’]

00472844

[‘pitying’, ‘sorry’, ‘sorry for(p)’]

[‘negative-emotion’, ‘sadness’, ‘sorrow’, ‘lost-sorrow’]

01102326

[‘regretful’, ‘sorry’]

[‘negative-emotion’, ‘sadness’, ‘sorrow’, ‘regret-sorrow’]

jubilant

01313944

[‘elated’, ‘gleeful’, ‘joyful’, ‘jubilant’]

[‘positive-emotion’, ‘joy’]

00670575

[‘exultant’, ‘exulting’, ‘jubilant’, ‘prideful’, ‘rejoicing’, ‘triumphal’, ‘triumphant’]

[‘positive-emotion’, ‘joy’, ‘exultation’, ‘triumph’]

happy

00556743

[‘content(p)’, ‘happy’]

[‘positive-emotion’, ‘joy’, ‘contentment’]

00863471

[‘euphoric’, ‘happy’]

[‘positive-emotion’, ‘joy’, ‘happiness’]

01308490

[‘happy’, ‘pleased’]

[‘positive-emotion’, ‘joy’, ‘happiness’]

01099314

[‘happy’]

[‘positive-emotion’, ‘joy’, ‘happiness’]

stunned

02246844

[‘amazed’, ‘astonied’, ‘astonished’, ‘astounded’, ‘stunned’]

[‘ambiguous-emotion’, ‘surprise’, ‘astonishment’]

00405649

[‘dazed’, ‘stunned’, ‘stupefied’, ‘stupid(p)’]

[‘ambiguous-emotion’, ‘astonishment’, ‘surprise’, ‘stupefaction’]

charmed

00824085

[‘beguiled’, ‘captivated’, ‘charmed’, ‘delighted’, ‘enthralled’, ‘entranced’]

[‘liking’, ‘positive-emotion’, ‘captivation’]

01405004

[‘captivated’, ‘charmed’]

[‘liking’, ‘positive-emotion’, ‘captivation’]

mortifying

01731686

[‘embarrassing’, ‘mortifying’]

[‘negative-emotion’, ‘shame’, ‘embarrassment’]

00717242

[‘demeaning’, ‘humbling’, ‘humiliating’, ‘mortifying’]

[‘negative-emotion’, ‘humility’]

apprehensive

00783553

[‘anxious’, ‘apprehensive’]

[‘negative-emotion’, ‘negative-fear’, ‘apprehension’]

00082090

[‘apprehensive’]

[‘negative-emotion’, ‘negative-fear’, ‘apprehension’]

unfriendly

01194979

[‘unfriendly’, ‘inimical’]

[‘general-dislike’, ‘negative-emotion’, ‘dislike’, ‘unfriendliness’]

01024196

[‘unfriendly’]

[‘general-dislike’, ‘negative-emotion’, ‘dislike’, ‘unfriendliness’]

annoyed

02336957

[‘annoyed’, ‘harassed’, ‘harried’, ‘pestered’, ‘vexed’]

[‘general-dislike’, ‘negative-emotion’, ‘anger’, ‘annoyance’]

01734180

[‘annoyed’, ‘irritated’, ‘nettled’, ‘peeved’, ‘pissed’, ‘riled’, ‘roiled’, ‘stung’]

[‘general-dislike’, ‘negative-emotion’, ‘anger’, ‘annoyance’]

discomfited

02222607

[‘defeated’, ‘disappointed’, ‘discomfited’, ‘foiled’, ‘frustrated’, ‘thwarted’]

[‘resignation’, ‘negative-emotion’, ‘despair’, ‘defeatism’]

00448253

[‘discomfited’, ‘embarrassed’]

[‘negative-emotion’, ‘shame’, ‘embarrassment’]

sad

01313226

[‘sad’]

[‘negative-emotion’, ‘sadness’]

01101074

[‘unhappy’, ‘sad’]

[‘negative-emotion’, ‘sadness’]

01308632

[‘sad’]

[‘negative-emotion’, ‘sadness’]

admirable

01735655

[‘admirable’]

[‘liking’, ‘positive-emotion’, ‘admiration’]

00859179

[‘admirable’]

[‘liking’, ‘positive-emotion’, ‘admiration’]

nervous

02337269

[‘anxious’, ‘nervous’, ‘uneasy’, ‘unquiet’]

[‘negative-emotion’, ‘anxiety’, ‘anxiousness’]

02290807

[‘edgy’, ‘high-strung’, ‘in suspense(p)’, ‘jittery’, ‘jumpy’, ‘nervous’, ‘nervy’, ‘overstrung’, ‘restive’, ‘uptight’]

[‘negative-emotion’, ‘anxiety’, ‘jitteriness’]

astonishing

01230203

[‘astonishing’, ‘astounding’, ‘staggering’, ‘stupefying’]

[‘ambiguous-emotion’, ‘astonishment’, ‘surprise’, ‘stupefaction’]

02248624

[‘amazing’, ‘astonishing’]

[‘ambiguous-emotion’, ‘surprise’, ‘astonishment’]

compassionate

00472490

[‘compassionate’]

[‘negative-emotion’, ‘compassion’]

01445379

[‘compassionate’]

[‘negative-emotion’, ‘compassion’]

sympathetic

00527965

[‘compatible’, ‘sympathetic’]

[‘liking’, ‘positive-emotion’, ‘sympathy’, ‘compatibility’]

01319150

[‘charitable’, ‘kindly’, ‘sympathetic’]

[‘liking’, ‘positive-emotion’, ‘sympathy’]

02263541

[‘sympathetic’]

[‘liking’, ‘positive-emotion’, ‘sympathy’]

covetous

00031053

[‘avaricious’, ‘covetous’, ‘grabby’, ‘grasping’, ‘greedy’, ‘prehensile’]

[‘general-dislike’, ‘negative-emotion’, ‘resentment’, ‘envy’, ‘hostility’, ‘hate’, ‘covetousness’]

00845237

[‘covetous’, ‘envious’, ‘jealous’]

[‘general-dislike’, ‘negative-emotion’, ‘resentment’, ‘envy’, ‘hostility’, ‘hate’, ‘jealousy’]

grim

00353838

[‘blue’, ‘dark’, ‘depressing’, ‘disconsolate’, ‘dismal’, ‘dispiriting’, ‘gloomy’, ‘grim’]

[‘negative-emotion’, ‘melancholy’, ‘sadness’, ‘gloom’]

01179526

[‘gloomy’, ‘grim’]

[‘negative-emotion’, ‘melancholy’, ‘sadness’, ‘gloom’]

gay

01314056

[‘gala(a)’, ‘gay’, ‘festal’, ‘festive’, ‘merry’]

[‘levity’, ‘positive-emotion’, ‘playfulness’]

01314288

[‘gay’, ‘jocund’, ‘jolly’, ‘jovial’, ‘merry’, ‘mirthful’]

[‘merriment’, ‘positive-emotion’, ‘joy’, ‘jollity’]

00353055

[‘cheery’, ‘gay’, ‘sunny’]

[‘levity’, ‘positive-emotion’, ‘playfulness’]

gloomy

01309194

[‘depressing’, ‘depressive’, ‘gloomy’, ‘saddening’]

[‘negative-emotion’, ‘melancholy’, ‘sadness’, ‘gloom’]

00353838

[‘blue’, ‘dark’, ‘depressing’, ‘disconsolate’, ‘dismal’, ‘dispiriting’, ‘gloomy’, ‘grim’]

[‘negative-emotion’, ‘melancholy’, ‘sadness’, ‘gloom’]

00669950

[‘glum’, ‘gloomy’, ‘long-faced’]

[‘negative-emotion’, ‘melancholy’, ‘sadness’, ‘gloom’]

00354187

[‘dingy’, ‘dismal’, ‘drab’, ‘drear’, ‘dreary’, ‘gloomy’, ‘sorry’]

[‘negative-emotion’, ‘melancholy’, ‘sadness’, ‘gloom’]

01179526

[‘gloomy’, ‘grim’]

[‘negative-emotion’, ‘melancholy’, ‘sadness’, ‘gloom’]

00271194

[‘glooming’, ‘gloomy’, ‘gloomful’]

[‘negative-emotion’, ‘melancholy’, ‘sadness’, ‘gloom’]

jealous

00845237

[‘covetous’, ‘envious’, ‘jealous’]

[‘general-dislike’, ‘negative-emotion’, ‘resentment’, ‘envy’, ‘hostility’, ‘hate’, ‘jealousy’]

02345311

[‘jealous’, ‘green-eyed’, ‘overjealous’]

[‘general-dislike’, ‘negative-emotion’, ‘resentment’, ‘envy’, ‘hostility’, ‘hate’, ‘jealousy’]

mournful

01309360

[‘doleful’, ‘mournful’]

[‘negative-emotion’, ‘sadness’, ‘lost-sorrow’, ‘sorrow’, ‘mournfulness’]

01313142

[‘mournful’, ‘plaintive’]

[‘negative-emotion’, ‘sadness’, ‘lost-sorrow’, ‘sorrow’, ‘mournfulness’, ‘plaintiveness’]

diffident

01916045

[‘diffident’]

[‘negative-emotion’, ‘negative-fear’, ‘timidity’, ‘diffidence’]

00331296

[‘diffident’, ‘shy’, ‘timid’, ‘unsure’]

[‘negative-emotion’, ‘negative-fear’, ‘timidity’]

awful

01940914

[‘awed’, ‘awful’]

[‘ambiguous-emotion’, ‘wonder’, ‘astonishment’, ‘surprise’, ‘awe’]

00193648

[‘awful’, ‘dire’, ‘direful’, ‘dread(a)’, ‘dreaded’, ‘dreadful’, ‘fearful’, ‘fearsome’, ‘frightening’, ‘horrendous’, ‘horrific’, ‘terrible’]

[‘negative-emotion’, ‘negative-fear’, ‘horror’]

pensive

01309833

[‘pensive’, ‘wistful’]

[‘ambiguous-emotion’, ‘pensiveness’]

02301888

[‘brooding’, ‘broody’, ‘contemplative’, ‘meditative’, ‘musing’, ‘pensive’, ‘pondering’, ‘reflective’, ‘ruminative’]

[‘ambiguous-emotion’, ‘pensiveness’]

caring

01404342

[‘affectionate’, ‘caring’, ‘fond’, ‘lovesome’, ‘tender’, ‘warm’]

[‘negative-emotion’, ‘compassion’, ‘tenderness’]

02329300

[‘caring’, ‘protective’]

[‘positive-emotion’, ‘affection’, ‘protectiveness’]

stupefied

00405649

[‘dazed’, ‘stunned’, ‘stupefied’, ‘stupid(p)’]

[‘ambiguous-emotion’, ‘astonishment’, ‘surprise’, ‘stupefaction’]

02247311

[‘dumbfounded’, ‘dumfounded’, ‘flabbergasted’, ‘stupefied’, ‘thunderstruck’]

[‘ambiguous-emotion’, ‘astonishment’, ‘surprise’, ‘stupefaction’]

joyful

01313944

[‘elated’, ‘gleeful’, ‘joyful’, ‘jubilant’]

[‘positive-emotion’, ‘joy’]

01100759

[‘joyful’, ‘joyous’]

[‘positive-emotion’, ‘joy’]

01310561

[‘joyful’]

[‘positive-emotion’, ‘joy’]

horrific

01567385

[‘hideous’, ‘horrid’, ‘horrific’, ‘outrageous’]

[‘negative-emotion’, ‘negative-fear’, ‘horror’]

00193648

[‘awful’, ‘dire’, ‘direful’, ‘dread(a)’, ‘dreaded’, ‘dreadful’, ‘fearful’, ‘fearsome’, ‘frightening’, ‘horrendous’, ‘horrific’, ‘terrible’]

[‘negative-emotion’, ‘negative-fear’, ‘horror’]

frightened

00083333

[‘panicky’, ‘panicked’, ‘panic-stricken’, ‘panic-struck’, ‘terrified’, ‘frightened’]

[‘negative-emotion’, ‘negative-fear’, ‘panic’]

00082641

[‘frightened’, ‘scared’]

[‘negative-emotion’, ‘negative-fear’, ‘scare’]

alienated

01402839

[‘alienated’, ‘estranged’]

[‘general-dislike’, ‘negative-emotion’, ‘dislike’, ‘alienation’]

01624115

[‘alienated’, ‘anomic’, ‘disoriented’]

[‘general-dislike’, ‘negative-emotion’, ‘dislike’, ‘alienation’]

terrible

01079947

[‘fearful’, ‘frightful’, ‘terrible’]

[‘negative-emotion’, ‘negative-fear’]

00193648

[‘awful’, ‘dire’, ‘direful’, ‘dread(a)’, ‘dreaded’, ‘dreadful’, ‘fearful’, ‘fearsome’, ‘frightening’, ‘horrendous’, ‘horrific’, ‘terrible’]

[‘negative-emotion’, ‘negative-fear’, ‘horror’]

intimidated

00082247

[‘browbeaten’, ‘bullied’, ‘cowed’, ‘hangdog’, ‘intimidated’]

[‘negative-emotion’, ‘negative-fear’, ‘fear-intimidation’]

00248975

[‘intimidated’]

[‘negative-emotion’, ‘negative-fear’, ‘fear-intimidation’]

apathetic

02170580

[‘apathetic’]

[‘neutral-emotion’, ‘apathy’]

01289497

[‘apathetic’, ‘indifferent’]

[‘neutral-emotion’, ‘neutral-unconcern’, ‘indifference’]

fearful

00082515

[‘fearful’]

[‘negative-emotion’, ‘negative-fear’]

01079947

[‘fearful’, ‘frightful’, ‘terrible’]

[‘negative-emotion’, ‘negative-fear’]

00193648

[‘awful’, ‘dire’, ‘direful’, ‘dread(a)’, ‘dreaded’, ‘dreadful’, ‘fearful’, ‘fearsome’, ‘frightening’, ‘horrendous’, ‘horrific’, ‘terrible’]

[‘negative-emotion’, ‘negative-fear’, ‘horror’]

00248776

[‘fearful’, ‘timorous’, ‘trepid’]

[‘negative-emotion’, ‘negative-fear’, ‘apprehension’, ‘trepidation’]

envious

00845237

[‘covetous’, ‘envious’, ‘jealous’]

[‘general-dislike’, ‘negative-emotion’, ‘resentment’, ‘envy’, ‘hostility’, ‘hate’, ‘jealousy’]

02023897

[‘begrudging’, ‘envious’, ‘grudging’]

[‘general-dislike’, ‘negative-emotion’, ‘resentment’, ‘hostility’, ‘hate’, ‘envy’]

unhappy

00863871

[‘dysphoric’, ‘distressed’, ‘unhappy’]

[‘negative-emotion’, ‘sadness’, ‘depression’, ‘dysphoria’]

01101074

[‘unhappy’, ‘sad’]

[‘negative-emotion’, ‘sadness’]

Verb

Duplicates

Synsets

Elements

Sentiment

cheer up

00582840

[‘cheer’, ‘cheer up’, ‘chirk up’]

[‘positive-emotion’, ‘joy’, ‘cheerfulness’]

00582994

[‘cheer’, ‘cheer up’, ‘jolly along’, ‘jolly up’]

[‘positive-emotion’, ‘joy’, ‘cheerfulness’]

rag

01221002

[‘annoy’, ‘rag’, ‘get to’, ‘bother’, ‘get at’, ‘irritate’, ‘rile’, ‘nark’, ‘nettle’, ‘gravel’, ‘vex’, ‘devil’]

[‘general-dislike’, ‘negative-emotion’, ‘anger’, ‘annoyance’]

01229968

[‘torment’, ‘rag’, ‘tantalize’, ‘bedevil’, ‘crucify’, ‘dun’, ‘frustrate’]

[‘annoyance’, ‘general-dislike’, ‘negative-emotion’, ‘anger’, ‘frustration’]

panic

01217082

[‘panic’]

[‘negative-emotion’, ‘negative-fear’, ‘panic’]

01217265

[‘panic’]

[‘negative-emotion’, ‘negative-fear’, ‘panic’]

nauseate

01233868

[‘disgust’, ‘revolt’, ‘nauseate’, ‘sicken’, ‘churn up’]

[‘general-dislike’, ‘negative-emotion’, ‘dislike’, ‘disgust’, ‘nausea’]

01502875

[‘sicken’, ‘nauseate’]

[‘general-dislike’, ‘negative-emotion’, ‘dislike’, ‘disgust’, ‘nausea’]

brood

00476269

[‘brood’, ‘worry’, ‘dwell’]

[‘negative-emotion’, ‘anxiety’, ‘distress’]

01857366

[‘sulk’, ‘pout’, ‘brood’]

[‘general-dislike’, ‘negative-emotion’, ‘resentment’, ‘hostility’, ‘hate’, ‘sulkiness’]

01231478

[‘sulk’, ‘grizzle’, ‘brood’, ‘stew’]

[‘general-dislike’, ‘negative-emotion’, ‘resentment’, ‘hostility’, ‘hate’, ‘sulkiness’]

dismay

01217571

[‘dismay’, ‘alarm’, ‘appal’, ‘appall’, ‘horrify’]

[‘negative-emotion’, ‘negative-fear’, ‘horror’]

01238101

[‘depress’, ‘deject’, ‘cast down’, ‘get down’, ‘dismay’, ‘dispirit’, ‘demoralize’]

[‘negative-emotion’, ‘sadness’, ‘depression’]

still

01204371

[‘calm’, ‘calm down’, ‘quiet’, ‘tranquilize’, ‘tranquillize’, ‘quieten’, ‘lull’, ‘still’]

[‘positive-emotion’, ‘calmness’]

01232553

[‘still’, ‘allay’, ‘relieve’, ‘ease’]

[‘calmness’, ‘positive-emotion’, ‘tranquillity’, ‘easiness’]

sicken

01233868

[‘disgust’, ‘revolt’, ‘nauseate’, ‘sicken’, ‘churn up’]

[‘general-dislike’, ‘negative-emotion’, ‘dislike’, ‘disgust’, ‘nausea’]

01502875

[‘sicken’, ‘nauseate’]

[‘general-dislike’, ‘negative-emotion’, ‘dislike’, ‘disgust’, ‘nausea’]

anticipate

01231091

[‘anticipate’, ‘look for’, ‘look to’]

[‘positive-emotion’, ‘positive-expectation’, ‘anticipation’]

00487133

[‘expect’, ‘anticipate’]

[‘ambiguous-emotion’, ‘ambiguous-expectation’]

joy

01237403

[‘gladden’, ‘joy’]

[‘positive-emotion’, ‘joy’]

01237680

[‘rejoice’, ‘joy’]

[‘positive-emotion’, ‘joy’, ‘rejoicing’]

stir

01208417

[‘touch’, ‘stir’]

[‘ambiguous-emotion’, ‘ambiguous-agitation’, ‘stir’]

01202395

[‘stimulate’, ‘shake’, ‘shake up’, ‘excite’, ‘stir’]

[‘ambiguous-emotion’, ‘ambiguous-agitation’, ‘stir’]

gladden

01237013

[‘gladden’]

[‘positive-emotion’, ‘joy’, ‘gladness’]

01237403

[‘gladden’, ‘joy’]

[‘positive-emotion’, ‘joy’]

anger

01220411

[‘anger’, ‘see red’]

[‘general-dislike’, ‘negative-emotion’, ‘anger’]

01219920

[‘anger’]

[‘general-dislike’, ‘negative-emotion’, ‘anger’]

disconcert

01222619

[‘confuse’, ‘flurry’, ‘consternate’, ‘disconcert’, ‘put off’]

[‘embarrassment’, ‘shame’, ‘negative-emotion’, ‘confusion’]

01222254

[‘upset’, ‘discompose’, ‘untune’, ‘disconcert’, ‘discomfit’]

[‘negative-emotion’, ‘anxiety’, ‘discomfiture’]

sulk

01857366

[‘sulk’, ‘pout’, ‘brood’]

[‘general-dislike’, ‘negative-emotion’, ‘resentment’, ‘hostility’, ‘hate’, ‘sulkiness’]

01231478

[‘sulk’, ‘grizzle’, ‘brood’, ‘stew’]

[‘general-dislike’, ‘negative-emotion’, ‘resentment’, ‘hostility’, ‘hate’, ‘sulkiness’]

shame

01223746

[‘shame’]

[‘negative-emotion’, ‘shame’]

01709572

[‘shame’]

[‘negative-emotion’, ‘shame’]

fear

01215644

[‘fear’]

[‘negative-emotion’, ‘negative-fear’]

01215760

[‘fear’]

[‘negative-emotion’, ‘negative-fear’]

01215448

[‘fear’, ‘dread’]

[‘negative-emotion’, ‘negative-fear’]

01215921

[‘fear’]

[‘negative-emotion’, ‘negative-fear’]

01214306

[‘reverence’, ‘fear’, ‘revere’, ‘venerate’]

[‘ambiguous-emotion’, ‘ambiguous-fear’, ‘reverence’]

alarm

00591365

[‘alarm’, ‘alert’]

[‘negative-emotion’, ‘negative-fear’, ‘alarm’]

01217571

[‘dismay’, ‘alarm’, ‘appal’, ‘appall’, ‘horrify’]

[‘negative-emotion’, ‘negative-fear’, ‘horror’]

revere

01214144

[‘idolize’, ‘worship’, ‘hero-worship’, ‘revere’]

[‘ambiguous-emotion’, ‘ambiguous-fear’, ‘reverence’]

01214306

[‘reverence’, ‘fear’, ‘revere’, ‘venerate’]

[‘ambiguous-emotion’, ‘ambiguous-fear’, ‘reverence’]

like

01213391

[‘like’]

[‘positive-emotion’, ‘liking’]

01213205

[‘like’]

[‘positive-emotion’, ‘liking’]

scare

01219733

[‘daunt’, ‘dash’, ‘scare off’, ‘pall’, ‘frighten off’, ‘scare away’, ‘frighten away’, ‘scare’]

[‘negative-emotion’, ‘negative-fear’, ‘scare’]

01214618

[‘frighten’, ‘fright’, ‘scare’, ‘affright’]

[‘negative-emotion’, ‘negative-fear’, ‘scare’]

envy

01246666

[‘envy’, ‘begrudge’]

[‘general-dislike’, ‘negative-emotion’, ‘resentment’, ‘hostility’, ‘hate’, ‘envy’]

01246968

[‘envy’]

[‘general-dislike’, ‘negative-emotion’, ‘resentment’, ‘hostility’, ‘hate’, ‘envy’]

revolt

01233868

[‘disgust’, ‘revolt’, ‘nauseate’, ‘sicken’, ‘churn up’]

[‘general-dislike’, ‘negative-emotion’, ‘dislike’, ‘disgust’, ‘nausea’]

01502738

[‘disgust’, ‘turn off’, ‘revolt’, ‘repel’]

[‘general-dislike’, ‘negative-emotion’, ‘dislike’, ‘disgust’, ‘repugnance’]

stew

01211054

[‘stew’, ‘grudge’]

[‘general-dislike’, ‘negative-emotion’, ‘resentment’, ‘hostility’, ‘hate’, ‘grudge’]

01231478

[‘sulk’, ‘grizzle’, ‘brood’, ‘stew’]

[‘general-dislike’, ‘negative-emotion’, ‘resentment’, ‘hostility’, ‘hate’, ‘sulkiness’]

chill

01240960

[‘chill’]

[‘negative-emotion’, ‘negative-fear’, ‘apprehension’, ‘chill’]

00258652

[‘cool’, ‘chill’, ‘cool down’]

[‘calmness’, ‘positive-emotion’, ‘coolness’]

repel

01502738

[‘disgust’, ‘turn off’, ‘revolt’, ‘repel’]

[‘general-dislike’, ‘negative-emotion’, ‘dislike’, ‘disgust’, ‘repugnance’]

01234179

[‘repel’, ‘repulse’]

[‘general-dislike’, ‘negative-emotion’, ‘dislike’, ‘disgust’, ‘repugnance’]

Adverb

Duplicates

Synsets

Elements

Sentiment

hopelessly

00312487

[‘dispiritedly’, ‘hopelessly’]

[‘despair’, ‘negative-emotion’, ‘hopelessness’]

00197005

[‘hopelessly’]

[‘despair’, ‘negative-emotion’, ‘hopelessness’]

surprisingly

00209555

[‘amazingly’, ‘surprisingly’, ‘astonishingly’]

[‘astonishment’, ‘surprise’, ‘ambiguous-emotion’, ‘surprise’]

00141302

[‘surprisingly’]

[‘astonishment’, ‘surprise’, ‘ambiguous-emotion’, ‘surprise’]

disgustedly

00308582

[‘disgustedly’]

[‘general-dislike’, ‘dislike’, ‘negative-emotion’, ‘disgust’]

00308724

[‘disgustedly’]

[‘general-dislike’, ‘dislike’, ‘negative-emotion’, ‘disgust’]

resignedly

00259750

[‘abjectly’, ‘resignedly’]

[‘despair’, ‘negative-emotion’, ‘resignation’]

00435962

[‘resignedly’]

[‘despair’, ‘negative-emotion’, ‘resignation’]

jealously

00297720

[‘enviously’, ‘covetously’, ‘jealously’]

[‘general-dislike’, ‘hostility’, ‘resentment’, ‘hate’, ‘negative-emotion’, ‘envy’, ‘jealousy’]

00378612

[‘jealously’]

[‘general-dislike’, ‘hostility’, ‘resentment’, ‘hate’, ‘negative-emotion’, ‘envy’, ‘jealousy’]

exuberantly

00319405

[‘ebulliently’, ‘exuberantly’, ‘expansively’]

[‘enthusiasm’, ‘positive-emotion’, ‘exuberance’]

00330011

[‘exuberantly’, ‘riotously’]

[‘enthusiasm’, ‘positive-emotion’, ‘exuberance’]

sorrowfully

00315910

[‘dolefully’, ‘sorrowfully’]

[‘sorrow’, ‘negative-emotion’, ‘sadness’, ‘regret-sorrow’]

00455379

[‘sorrowfully’]

[‘sorrow’, ‘negative-emotion’, ‘sadness’, ‘regret-sorrow’]

sadly

00090468

[‘deplorably’, ‘lamentably’, ‘sadly’, ‘woefully’]

[‘sorrow’, ‘lost-sorrow’, ‘negative-emotion’, ‘sadness’, ‘mournfulness’, ‘woe’]

00399051

[‘sadly’]

[‘negative-emotion’, ‘sadness’]

hopefully

00196759

[‘hopefully’]

[‘positive-hope’, ‘positive-emotion’, ‘hopefulness’]

00196856

[‘hopefully’]

[‘positive-hope’, ‘positive-emotion’, ‘hopefulness’]