The NRC Valence, Arousal, and Dominance (VAD) Lexicon v1 www.saifmohammad.com/WebPages/lexicons.html Contact: Saif M. Mohammad (saif.mohammad@nrc-cnrc.gc.ca) The NRC Valence, Arousal, and Dominance (VAD) Lexicon is a list of English words and their valence, arousal, and dominance scores. The lexicon with its fine-grained real-valued scores was created by manual annotation using best--worst scaling. For a given word and a dimension (V/A/D), the scores range from 0 (lowest V/A/D) to 1 (highest V/A/D). v.scores: has valence scores a.scores: has arousal scores d.scores: has dominance scores Details of the lexicon are in this paper. Obtaining Reliable Human Ratings of Valence, Arousal, and Dominance for 20,000 English Words. Saif M. Mohammad. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, Melbourne, Australia, July 2018. Words play a central role in language and thought. Factor analysis studies have shown that the primary dimensions of meaning are valence, arousal, and dominance (VAD). We obtain reliable human ratings of valence, arousal, and dominance for more than 20,000 English words. We use Best--Worst Scaling to obtain fine-grained scores and address issues of annotation consistency that plague traditional rating scale methods of annotation. We show that the ratings obtained are vastly more reliable than those in existing lexicons. We also show that there exist statistically significant differences in the shared understanding of valence, arousal, and dominance across demographic variables such as age, gender, and personality. Terms of use: - The lexicons mentioned in this page can be used freely for research purposes. - If you use a lexicon, then please cite the associated papers. - If interested in commercial use of any of these lexicons, send email to the contact. Use of the lexicons in commercial applications without express consent from NRC is strictly prohibited. - If you use a lexicon in a product or application, then please credit the authors and NRC appropriately. Also, if you send us an email, we will be thrilled to know about how you have used the lexicon. - Rather than redistributing the data, please direct interested parties to this page. - National Research Council Canada (NRC) disclaims any responsibility for the use of the lexicons listed here and does not provide technical support. However, the contact listed above will be happy to respond to queries and clarifications. We will be happy to hear from you, especially if: - you give us feedback regarding these lexicons. - you tell us how you have (or plan to) use the lexicons. - you are interested in having us analyze your data for sentiment, emotion, and other affectual information. - you are interested in a collaborative research project. We also regularly hire graduate students for research internships.