I'm pleased to announce the release of SentiWords, a high coverage resource containing roughly 155.000 English words associated with a sentiment score included between -1 and 1. Words are in the form lemma#PoS and are aligned with WordNet lists. 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.
The resource is freely available for research purposes at the following link: https://hlt.fbk.eu/technologies/sentiwords
The methodology we used is described in: 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.
-- Marco Guerini, PhD www.marcoguerini.eu