Avaya SemEval-2013 Sentiment Resources
These resources include manually created resources for use in sentiment analysis tasks. This includes a negation word list and an emoticon polarity dictionary. The paper for which these resources were originally developed is Lee Becker, George Erhart, David Skiba, and Valentine Matula “AVAYA: Sentiment Analysis on Twitter with Self-Training and Polarity Lexicon Expansion”. In Proceedings of the 7th International Workshop on Semantic Evaluation (SemEval 2013).
Avaya SemEval-2013 Sentiment Resources are distributed under the Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0) license. Among the other possibilities, this license allows the use of these resources in commercial applications, provided that the application mentions the use of Avaya SemEval-2013 Sentiment Resources and is attributed to its authors.