Evaluating SentiStrength for Arabic Sentiment Analysis
作者： Abdullateef M. Rabab'ah , Mahmoud Al-Ayyoub , Yaser Jararweh , Mohammed N. Al-Kabi
DOI: 10.1109/CSIT.2016.7549458
关键词:
摘要: Social networking websites are used today as platforms enabling their users to write down almost anything about everything. media express opinions and feelings lots of events occurring in daily lives. Lots studies conducted study the sentiments presented by social regarding different topics. Sentiment Analysis (SA) is a new field that concerned with measuring sentiment given text. Due wide set applications, several SA tools available. Most them designed for English As other languages such Arabic, case since only few In fact, many these were originally later adapted deal Arabic. SentiStrength an example successful However, adaptation has been done crude manner no deep available measure effectiveness Arabic this paper, we perform comprehensive evaluation using 11 datasets consisting tens thousands reviews/comments from domains dialects. We terms positive negative sentiments. The results show overall achieves 62% accuracy, 83.7% precision, 64% recall (positive correct), 68% F1 55% correct.
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