Paper Title

Review On Techniques in Sentiment Analysis

Article Identifiers

Registration ID: IJNRD_185982

Published ID: IJNRD2301116

DOI: Click Here to Get

Authors

Sibi Mathew , Abin P Mathew

Keywords

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

Abstract

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.

How To Cite (APA)

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

Issue

Volume 8 Issue 1, January-2023

Pages : a105-a114

Other Publication Details

Paper Reg. ID: IJNRD_185982

Published Paper Id: IJNRD2301116

Downloads: 000121983

Research Area: Engineering

Country: Kottarakara, Kerala, India

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

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2301116

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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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Call For Paper

Call For Paper - Volume 10 | Issue 10 | October 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

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Important Dates for Current issue

Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

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Subject Category: Research Area

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