Kavitha Karimbi Mahesh, A. Nishmitha, Gowda Karthik Balgopal, Kausalya K Naik, Mranali Gourish Gaonkar
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引用次数: 0
Abstract
We present a lexicon-based approach for classifying opinionated social media texts in English and Hindi. The effect of conjunctions, degree modifiers, negations, emojis and emoticons in scoring the intensity of opinion expressed is further explored. Using a manually built Hindi polarity lexicon, we achieve an accuracy of 86.45% in classifying 2,717 Hindi reviews. A real-time analysis on YouTube reviews showed 86% accuracy for English review classification task.
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