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📚 Available Dictionaries

sentibank offers a comprehensive collection of sentiment dictionaries, including 15 original dictionaries and 43 preprocessed versions. To access the original dictionaries, you can use the predefined lexicon identifier following the {NAME}_{VERSION} convention.

For the preprocessed dictionaries, there are two naming conventions:

1. {NAME}_{VERSION}: This convention indicates that only compulsory processing has been applied to the base lexicon.

2. {NAME}_{VERSION}_{refined}: This structure specifies additional transformations or discretionary refinements that have been applied to the base lexicon.

For example, NoVAD_v2013_boosted applies arousal-based adjustments to intensify extreme valence values and dampen neutral ones, providing a richness-preserving single score.

To view the available predefined lexicon identifiers and their corresponding dictionaries, please click and open the List of Available Dictionaries below.

List of Available Dictionaries

Sentiment Dictionary	Affiliated Institution (Principal Investigator)	Description	Genre	Domain	Predefined Identifiers (preprocessed)
AFINN (Nielsen, 2011)	DTU Informatics (Technical University of Denmark)	General purpose lexicon with sentiment ratings for common emotion words.	Social Media	General	AFINN_v2009, AFINN_v2011, AFINN_v2015
Aigents+ (Raheman et al., 2022)	Autonio Foundation	Lexicon optimised for social media posts related to cryptocurrencies.	Social Media	Cryptocurrency	Aigents+_v2022
ANEW (Bradley and Lang, 1999)	NIMH Center for Emotion and Attention (University of Florida)	Provides normative emotional ratings across pleasure, arousal, and dominance dimensions.	General	Psychology	ANEW_v1999_simple, ANEW_v1999_weighted
Dictionary of Affect in Language (DAL) (Whissell, 1989; Whissell, 2009)	Laurentian University	Lexicon designed to quantify pleasantness, activation, and imagery dimensions across diverse everyday English words.	General	General	DAL_v2009_norm, DAL_v2009_boosted
Discrete Emotions Dictionary (DED) (Fioroni et al., 2022)	Gallup	Lexicon focused on precisely distinguishing four key discrete emotions in political communication	News	Political Science	DED_v2022
General Inquirer (Stone et al., 1962)	Harvard University	Lexicon capturing broad psycholinguistic dimensions across semantics, values and motivations.	General	Psychology, Political Science	HarvardGI_v2000
Henry (Henry, 2006)	University of Miami	Leixcon designed for analysing tone in earnings press releases.	Corporate Communication (Earnings Press Releases)	Finance	Henry_v2006
MASTER (Loughran and McDonland, 2011; Bodnaruk, Loughran and McDonald, 2015)	University of Notre Dame	Financial lexicons covering expressions common in business writing.	Regulatory Filings (10-K)	Finance	MASTER_v2022
Norms of Valence, Arousal and Dominance (NoVAD) (Warriner, Kuperman and Brysbaert, 2013; Warriner and Kuperman, 2014)	McMaster University	A lexicon of 14,000 common English lemmas across valence, arousal, and dominance dimensions.	General	Psychology	NoVAD_v2013_norm, NoVAD_v2013_boosted
OpinionLexicon (Hu and Liu, 2004)	University of Illinois Chicago	Opinion words tailored for sentiment analysis of product reviews.	Product Reviews	Consumer Products	OpinionLexicon_v2004
SenticNet (Cambria et al., 2010; Cambria, Havasi and Hussain, 2012; Cambria, Olsher and Rajagopal, 2014; Cambria et al., 2016, 2018, 2020, 2022)	Sentic Research Group (Initiative at Massachusetts Institute of Technology, currently maintained by Nanyang Technological University)	Conceptual lexicon providing multidimensional sentiment analysis for commonsense concepts and expressions.	General	General	SenticNet_v2010, SenticNet_v2012, SenticNet_v2012_attributes, SenticNet_v2012_semantics, SenticNet_v2014, SenticNet_v2014_attributes, SenticNet_v2014_semantics, SenticNet_v2016, SenticNet_v2016_attributes, SenticNet_v2016_mood, SenticNet_v2016_semantics, SenticNet_v2018, SenticNet_v2018_attributes, SenticNet_v2018_mood, SenticNet_v2018_semantics, SenticNet_v2020, SenticNet_v2020_attributes, SenticNet_v2020_mood, SenticNet_v2020_semantics, SenticNet_v2022, SenticNet_v2022_attributes, SenticNet_v2022_mood, SenticNet_v2022_semantics
SentiWordNet (Esuli and Sebastiani, 2006; Baccianella, Esuli and Sebastiani, 2010)	Institute of Information Science and Technologies (Consiglio Nazionale delle Ricerche)	Lexicon associating WordNet synsets with positive, negative, and objective scores.	General	General	SentiWordNet_v2010_simple, SentiWordNet_v2010_logtransform
VADER (Hutto and Gilbert, 2014)	Georgia Institute of Technology	General purpose lexicon optimised for social media and microblogs.	Social Media	General	VADER_v2014
WordNet-Affect (Strapparava and Valitutti, 2004; Valitutti, Strapparava and Stock, 2004; Strapparava, Valitutti and Stock, 2006)	Institute for Scientific and Technological Research (Fondazione Bruno Kessler)	Hierarchically organised affective labels providing a granular emotional dimension.	General	Psychology	WordNet-Affect_v2006

📖 Load Preprocessed Dictionaries

The sentibank.archive module provides access to 15 original and 43 preprocessed sentiment dictionaries. To load a preprocessed dictionary in dict format:

from sentibank import archive

load = archive.load()
vader = load.dict("VADER_v2014")

{'$:': -1.5,
 '%)': -0.4,
 '%-)': -1.5,
 '&-:': -0.4,
 '&:': -0.7,
 "( '}{' )": 1.6,
 '(%': -0.9,
 ...}

📘 Load Original Dictionaries

To load the original (unprocessed) dictionary as a pd.DataFrame:

from sentibank import archive

load = archive.load()
afinn = load.origin("AFINN_v2015")

	lexicon	score
0	abandon	-2
1	abandoned	-2
2	abandons	-2
3	abducted	-2
4	abduction	-2
...	...	...
3377	yucky	-2
3378	yummy	3
3379	zealot	-2
3380	zealots	-2
3381	zealous	2

3382 rows × 2 columns