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Ranganathappa, M.
- Harnessing Multi-Source Data about Public Sentiments
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1 School of Computer Science and Applications, REVA University, IN
1 School of Computer Science and Applications, REVA University, IN
Source
International Journal of Advanced Networking and Applications, Vol 10, No SP 5 (2019), Pagination: 64-68Abstract
As net is growing bigger, its horizons are becoming wider. Social Media and Micro blogging platforms like Facebook, Twitter, Instagram dominate in spreading encapsulated information and trending subjects across the globe at a rapid pace. A theme will become trending if greater and greater customers are contributing their opinion and judgements, thereby making it a treasured source of on-line perception. These subjects commonly supposed to unfold attention or to promote public figures, political campaigns for the duration of elections, product endorsements and enjoyment like movies, shows.Thus, there is a huge practicable of discovering and analysing interesting patterns from the countless social media statistics for business-driven applications.Keywords
Opinion Mining, Sentiment Analysis, Sentic Computing.References
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