Sentiment Analysis On Indian Indigenous Languages: A Review On Multilingual Opinion Mining

November 28, 2019 ยท The Cartographer ยท ๐Ÿ› arXiv.org

๐Ÿ“š THE CARTOGRAPHER: The Cartographer
Survey/review paper โ€” maps the landscape rather than implementing a method.

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"Title-pattern auto-detect: Sentiment Analysis On Indian Indigenous Languages: A Review On Multilingual Opinion Mining"

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Authors Sonali Rajesh Shah, Abhishek Kaushik arXiv ID 1911.12848 Category cs.CL: Computation & Language Cross-listed cs.IR, cs.LG, stat.ML Citations 28 Venue arXiv.org Last Checked 2 days ago
Abstract
An increase in the use of smartphones has laid to the use of the internet and social media platforms. The most commonly used social media platforms are Twitter, Facebook, WhatsApp and Instagram. People are sharing their personal experiences, reviews, feedbacks on the web. The information which is available on the web is unstructured and enormous. Hence, there is a huge scope of research on understanding the sentiment of the data available on the web. Sentiment Analysis (SA) can be carried out on the reviews, feedbacks, discussions available on the web. There has been extensive research carried out on SA in the English language, but data on the web also contains different other languages which should be analyzed. This paper aims to analyze, review and discuss the approaches, algorithms, challenges faced by the researchers while carrying out the SA on Indigenous languages.
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