Review On Techniques in Sentiment Analysis

Registration ID: IJNRD_185982

Published ID: IJNRD2301116

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Sibi Mathew, Abin P Mathew

Natural Language Processing, sentiments, social media analysis, sentiments, techniques

Sentiment analysis (SA), is the process of extracting emotions and opinions from the review of products and situations to understand the feelings from these text inputs. The rapid development of Internet-based applications such as websites, social networks, and blogs has allowed people to generate vast amounts of opinions and reviews about products, services, and everyday activities. Sentiment analysis is used by businesses as a great marketing strategy, governments to obtain a general public opinion, and researchers can extract and analyze public opinion and use it to gain business insights and make better decisions better decisions about a situation. The ongoing research focuses on expanding the scope of sentimental analysis through the use of a large chunk of data available on social media. In this paper, we will be looking in detail at the different techniques in sentimental analysis, its possible challenges, and current research in this field. This review intends to provide an overview of techniques used in sentimental analysis.

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Sibi Mathew & Abin P Mathew (January-2023). Review On Techniques in Sentiment Analysis. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(1), a105-a114. https://ijnrd.org/papers/IJNRD2301116.pdf

Volume 8 Issue 1, January-2023

Pages : a105-a114

Paper Reg. ID: IJNRD_185982

Published Paper Id: IJNRD2301116

Downloads: 000122256

Research Area: Engineering

Author Type: Indian Author

Country: Kottarakara, Kerala, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2301116.pdf

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