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SentiWords is a high coverage resource containing roughly 155.000 English words associated with a sentiment score included between -1 and 1. Words in this resource are in the form lemma#PoS and are aligned with WordNet lists (that include adjectives, nouns, verbs and adverbs). Scores are learned from SentiWordNet and represent state-of-the-art computation of words' prior polarities (i.e. polarity for non-disambiguated words) using SWN. SentiWords was built using the method described in Guerini et al. (2013) and the dataset presented in Warriner et al. (2013). For a thorugh description see Gatti et al. (2015).
How to obtain it
SentiWords is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. To obtain it, click the "Download SentiWords" button below. Whenever making reference to this resource please cite the papers in the References section.
Gatti, L., Guerini, M., & Turchi, M. (2016). SentiWords: Deriving a high precision and high coverage lexicon for sentiment analysis. IEEE Transactions on Affective Computing, 7(4), 409-421. [Preprint]
Guerini M., Gatti L. & Turchi M. “Sentiment Analysis: How to Derive Prior Polarities from SentiWordNet”. In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing (EMNLP'13), pp 1259-1269. Seattle, Washington, USA. 2013. [Preprint]
Warriner A. B., Kuperman V. & Brysbaert M. "Norms of valence, arousal, and dominance for 13,915 English lemmas". Behavior research methods, 45(4), 1191-1207. 2013. [Download page]
For more infomation about SentiWords please contact: guerini[at]fbk.eu