LSIS at SemEval-2016 Task 7: Using Web Search Engines for English and Arabic Unsupervised Sentiment Intensity Prediction

Abstract : 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 co-occurrence 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.
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Submitted on : Thursday, May 17, 2018 - 12:57:42 PM
Last modification on : Friday, March 22, 2019 - 11:34:05 AM
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Amal Htait, Sébastien Fournier, Patrice Bellot. LSIS at SemEval-2016 Task 7: Using Web Search Engines for English and Arabic Unsupervised Sentiment Intensity Prediction. 10th International Workshop on Semantic Evaluation (SemEval-2016), Jun 2016, San Diego, United States. pp.469 - 473. ⟨hal-01771674⟩

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