Htait, Amal, Fournier, Sébastien and Bellot, Patrice (2016). LSIS at SemEval-2016 Task 7: Using Web Search Engines for English and Arabic Unsupervised Sentiment Intensity Prediction. IN: International Workshop on Semantic Evaluation. Association for Computational Linguistics.
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 |
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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 |
Related URLs: | PURE Output Type: | Conference contribution |
Published Date: | 2016-06 |
Authors: |
Htait, Amal
(
0000-0003-4647-9996)
Fournier, Sébastien Bellot, Patrice |