UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 3 | March 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 8 Issue 11
November-2021
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2111351


Registration ID:
318069

Page Number

d344-d352

Share This Article


Jetir RMS

Title

Sentiment Score of Twitter Using Machine Learning: Review

Abstract

Three centuries ago, Oil companies ruled the world and still do explains the monopoly of Middle-East countries enjoy petrodollar surplus. Oil, the world's most precious resource in the 18th century, was an enormous, undiscovered valuable asset. It was the backbone of everything from the government to small businesses. Without it, development would come to a halt, and economies would contract. Today Social Media outlets such as Twitter analogous to oil is a gold mine for various companies and advertisers which has recently opened up a lot of doors for them that want to track and control the credibility of their brands, products and businesses, as well as policymakers and leaders by helping them in evaluating the public opinions on their policies or political matters. This paper presents a review to comprehend the various components and basic information required to conduct Twitter sentiment analysis

Key Words

Sentiment analysis, Machine learning, Tweet Sentiment Analysis, Twitter

Cite This Article

"Sentiment Score of Twitter Using Machine Learning: Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 11, page no.d344-d352, November-2021, Available :http://www.jetir.org/papers/JETIR2111351.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

"Sentiment Score of Twitter Using Machine Learning: Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 11, page no. ppd344-d352, November-2021, Available at : http://www.jetir.org/papers/JETIR2111351.pdf

Publication Details

Published Paper ID: JETIR2111351
Registration ID: 318069
Published In: Volume 8 | Issue 11 | Year November-2021
DOI (Digital Object Identifier):
Page No: d344-d352
Country: shimla, HIMACHAL PRADESH, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

000406

Print This Page

Current Call For Paper

Jetir RMS