UGC Approved Journal no 63975(19)

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

Volume 10 Issue 4
April-2023
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2304C16


Registration ID:
514187

Page Number

m149-m153

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Title

Twitter Sentiment Analysis in Python

Abstract

Social networking services like Twitter, Facebook, Tumbler, and others play a significant part in today's society. Twitter is a microblogging site that offers a tonne of data that may be utilized for many Sentiment Analysis applications, including forecasts, reviews, elections, marketing, etc. Sentiment Analysis is a method of taking information from a lot of data and categorizing it into several groups known as sentiments. Python is a well-known high-level, interpreted, dynamic programming language that is straightforward but incredibly effective. It uses the NLTK (Natural Language Toolkit) to analyze data from natural languages. Python's NLTK library is a foundation for creating programs and categorizing data. Additionally, NLTK offers graphical examples of different outcomes or trends and test data to train and test different classifiers. The purpose of this thesis is to determine which Indian political party is doing the best for the general population by classifying Twitter data into feelings (positive or negative) using several supervised machines learning classifiers on data collected for different Indian political parties. We also concluded that some classifiers perform better than others.

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"Twitter Sentiment Analysis in Python ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 4, page no.m149-m153, April-2023, Available :http://www.jetir.org/papers/JETIR2304C16.pdf

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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

"Twitter Sentiment Analysis in Python ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 4, page no. ppm149-m153, April-2023, Available at : http://www.jetir.org/papers/JETIR2304C16.pdf

Publication Details

Published Paper ID: JETIR2304C16
Registration ID: 514187
Published In: Volume 10 | Issue 4 | Year April-2023
DOI (Digital Object Identifier):
Page No: m149-m153
Country: Bengaluru Urban, Karnataka, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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