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.

Divisions: ?? 50811700Jl ??
College of Business and Social Sciences > Aston Institute for Forensic Linguistics
Last Modified: 30 Sep 2024 09:31
Date Deposited: 20 Dec 2022 13:52
Full Text Link: https://hal.arc ... fr/hal-01771674
https://hal.arc ... 771674/document
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PURE Output Type: Conference contribution
Published Date: 2016-06
Authors: Htait, Amal (ORCID Profile 0000-0003-4647-9996)
Fournier, Sébastien
Bellot, Patrice

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