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- W4360764559 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." @default.
- W4360764559 created "2023-03-25" @default.
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- W4360764559 date "2022-12-01" @default.
- W4360764559 modified "2023-09-28" @default.
- W4360764559 title "Aspect-based Sentiment Analysis of English and Hindi Opinionated Social Media Texts" @default.
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- W4360764559 doi "https://doi.org/10.1109/icmla55696.2022.00235" @default.
- W4360764559 hasPublicationYear "2022" @default.
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