Paper Title

Sentiment Analysis Using Natural Language Processing

Authors

Mr. Nikale Nikhil D , Mr. Patil Pratik V , Ms. Pawar Rutuja V , Ms. Phepale Rutuja B , Mr. Waghmare Suyash V

Keywords

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Abstract

Feeling examination can be viewed as significant utilization of AI, all the more especially NLP.As there are assortments of applications, Sentiment examination has acquired a ton of consideration furthermore is one among the quickest developing examination region in PC Science. It is a kind of information examination which is seen from news reports, client surveys, online media refreshes and so on Reactions are gathered and examined by specialists. All opinions can be grouped into three classes Positive, Negative also Neutral. The project gives a nitty gritty investigation of feeling investigation. It clarifies the sentiments of opinion examination, and furthermore various methodologies of opinion examination. The new instruments furthermore APIs alongside different certifiable uses of opinion investigation in different regions are likewise portrayed momentarily

How To Cite

"Sentiment Analysis Using Natural Language Processing ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 5, page no.458 - 462, May-2022, Available :https://ijsdr.org/papers/IJSDR2205088.pdf

Issue

Volume 7 Issue 5, May-2022

Pages : 458 - 462

Other Publication Details

Paper Reg. ID: IJSDR_200440

Published Paper Id: IJSDR2205088

Downloads: 000347229

Research Area: Engineering

Country: -, -, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2205088

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2205088

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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