UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 4 | April 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 7 Issue 12
December-2020
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:
JETIREJ06029


Registration ID:
304916

Page Number

120-125

Share This Article


Jetir RMS

Title

Machine Learning Approaches for Sentiment Analysis : A Review

Abstract

Today YouTube is very useful and it is most popular site in social media. It is also the most trendy site in social media, where users interact with each other through sharing, commenting and rating on videos Sentiment analysis is the field of study related to analyze comments & emotions of users .Due to comment analysis we can easily find best or most popular video among the various video. In YouTube there are many videos on similar topic and we cannot decide which videos are good. So by performing the sentiment analysis we can decide which is video is best .This analysis helps to find out the most relevant and popular video of YouTube according to search. This papers describes the techniques of machine learning that can be used for sentiment analysis.

Key Words

Machine Learning; Sentiment Analysis; Comment Analysis

Cite This Article

"Machine Learning Approaches for Sentiment Analysis : A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 12, page no.120-125, December-2020, Available :http://www.jetir.org/papers/JETIREJ06029.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

"Machine Learning Approaches for Sentiment Analysis : A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 12, page no. pp120-125, December-2020, Available at : http://www.jetir.org/papers/JETIREJ06029.pdf

Publication Details

Published Paper ID: JETIREJ06029
Registration ID: 304916
Published In: Volume 7 | Issue 12 | Year December-2020
DOI (Digital Object Identifier):
Page No: 120-125
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

0003159

Print This Page

Current Call For Paper

Jetir RMS