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Sentiment Analysis and Sarcasm Detection (Using Emoticons)

Sentiment Analysis and Sarcasm Detection (Using Emoticons)

Vibhu Dagar, Amber Verma, Govardhan K.
Copyright: © 2021 |Pages: 13
ISBN13: 9781799833352|ISBN10: 1799833356|ISBN13 Softcover: 9781799833369|EISBN13: 9781799833376
DOI: 10.4018/978-1-7998-3335-2.ch011
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MLA

Dagar, Vibhu, et al. "Sentiment Analysis and Sarcasm Detection (Using Emoticons)." Applications of Artificial Intelligence for Smart Technology, edited by P. Swarnalatha and S. Prabu, IGI Global, 2021, pp. 164-176. https://doi.org/10.4018/978-1-7998-3335-2.ch011

APA

Dagar, V., Verma, A., & K., G. (2021). Sentiment Analysis and Sarcasm Detection (Using Emoticons). In P. Swarnalatha & S. Prabu (Eds.), Applications of Artificial Intelligence for Smart Technology (pp. 164-176). IGI Global. https://doi.org/10.4018/978-1-7998-3335-2.ch011

Chicago

Dagar, Vibhu, Amber Verma, and Govardhan K. "Sentiment Analysis and Sarcasm Detection (Using Emoticons)." In Applications of Artificial Intelligence for Smart Technology, edited by P. Swarnalatha and S. Prabu, 164-176. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-3335-2.ch011

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Abstract

Sentiment analysis is contextual mining of text which identifies and extracts subjective information in source material and helps a business to understand the social sentiment of their brand, product, or service while monitoring online conversations. However, analysis of social media streams is usually restricted to just basic sentiment analysis and count-based metrics. This is akin to just scratching the surface and missing out on those high value insights that are waiting to be discovered. Twitter is an online person-to-person communication administration where overall clients distribute their suppositions on an assortment of themes, talk about current issues, grumble, and express positive or on the other hand negative notions for items they use in life. Hence, Twitter is a rich source of information for supposition mining and estimation investigation.

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