Abstract
Social media locales (akin Twitter, Facebook, microblogs etc.) are a global platform to share interesting ideas or news, comments, and reviews. However, feedbacks via sharing of thoughts, feelings, and comments about various products and services become key characteristics on which business in the contemporary world rely on. These are called as sentiments on social media. An attitude, believe, or acumen driven by feeling collectively called sentiment. Sentiment analysis otherwise called as opinion mining studies individuals’ sentiments pointing certain elements. Web is a resourceful place for sentiment information. Difficulty arises when the phrases containing homographs are encountered. In this paper, a brief review of work done on sentiment analysis on social media applications along with various phases and levels of sentiment analysis has been discussed.
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Akankasha, Arora, B. (2019). A Review of Sentimental Analysis on Social Media Application. In: Rathore, V., Worring, M., Mishra, D., Joshi, A., Maheshwari, S. (eds) Emerging Trends in Expert Applications and Security. Advances in Intelligent Systems and Computing, vol 841. Springer, Singapore. https://doi.org/10.1007/978-981-13-2285-3_56
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DOI: https://doi.org/10.1007/978-981-13-2285-3_56
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