LSIS at SemEval-2016 Task 7: Using Web Search Engines for English and Arabic Unsupervised Sentiment Intensity Prediction
Amal Htait, Sébastien Fournier, Patrice Bellot · 2016
In this paper, we present our contribution in SemEval2016 task7 1 : Determining Sentiment Intensity of English and Arabic Phrases, where we use web search engines for English and Arabic unsupervised sentiment intensity prediction.Our work is based, first, on a group of classic sentiment lexicons (e.g.Sen-timent140 Lexicon, SentiWordNet).Second, on web search engines' ability to find the cooccurrence of sentences with predefined negative and positive words.The use of web search engines (e.g.Google Search API) enhance the results on phrases built from opposite polarity terms.