Mahesh B. Shelke1, Jeong Gon Lee2,*, Sovan Samanta3, Sachin N. Deshmukh1, G. Bhalke Daulappa4, Rahul B. Mannade5, Arun Kumar Sivaraman6
Computer Systems Science and Engineering, Vol.44, No.3, pp. 2457-2468, 2023, DOI:10.32604/csse.2023.027979
Abstract In today’s digital world, millions of individuals are linked to one another via the Internet and social media. This opens up new avenues for information exchange with others. Sentiment analysis (SA) has gotten a lot of attention during the last decade. We analyse the challenges of Sentiment Analysis (SA) in one of the Asian regional languages known as Marathi in this study by providing a benchmark setup in which we first produced an annotated dataset composed of Marathi text acquired from microblogging websites such as Twitter. We also choose domain experts to manually annotate Marathi microblogging posts with positive, negative,… More >
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