UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 8 Issue 10
October-2021
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2110492


Registration ID:
316352

Page Number

e623-e628

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Title

NLP and ML Based Framework for Covid-19 Statistical Analysis

Abstract

Today internet has a big number of social media sites for online learning, developing new ideas, and sharing their ideas, thoughts, opinions, views, and feelings about anything with a huge amount of people throughout the world. Nowadays it is very free to discuss your ideas and establish own business using social media platforms such as Facebook, Twitter, websites and others, and to raise one's own voice and share their opinions on a regular basis. Sentiment analysis from Twitter has recently among the largest attractive academic disciplines. For the aim of developing such systems, it blends natural language processing techniques with data mining technologies. I presented an effective technique for analysing Twitter sentiment in this research. To compare accuracy, several machine learning classification methods such as naive bayes, SVM, KNN, decision tree, logistic regression were developed for recognising positive and negative tweets.

Key Words

Twitter, Covid 19 vaccines, Polarity, Sentiment, Machine learning

Cite This Article

"NLP and ML Based Framework for Covid-19 Statistical Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 10, page no.e623-e628, October-2021, Available :http://www.jetir.org/papers/JETIR2110492.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"NLP and ML Based Framework for Covid-19 Statistical Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 10, page no. ppe623-e628, October-2021, Available at : http://www.jetir.org/papers/JETIR2110492.pdf

Publication Details

Published Paper ID: JETIR2110492
Registration ID: 316352
Published In: Volume 8 | Issue 10 | Year October-2021
DOI (Digital Object Identifier):
Page No: e623-e628
Country: Thane, Maharastra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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