UGC Approved Journal no 63975(19)

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

Volume 7 Issue 9
September-2020
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2009394


Registration ID:
300396

Page Number

707-714

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Title

Implementing Sentiment Analysis on Real-Time Twitter Data

Abstract

This study has been undertaken to investigate the application of Sentiment Analysis on real time Twitter data collected through Twitter API. Sentiment analysis is a progressive field of natural language processing. It is a way to detect the attitude, state of mind, or emotions of the person towards a product, service, movie, etc. by analyzing the opinions and reviews shared on social media, blogs and so on. Various social media platforms such as Facebook, Twitter and so on allow people to share their views with other people. Twitter has become the most popular social media platform that allows users to share information by way of the short messages called tweets on a real-time basis. These tweets consist of user opinions towards a particular topic, trend, or issue. These Tweets are first extracted in real time through application programming interfaces (APIs) using hashtags and keywords, about political figures such as Donald Trump, Narendra Modi, etc. They are then categorized based on their subjectivity and polarity. Machine learning algorithms such as Naïve Bayes and Random Forest Classifier are then used to accurately predict these Tweets as negative or non-negative (positive or neutral). This will give us an understanding on general public reception towards these figures. Our experimental results show that it is possible to process data in real-time, and obtain information continuously, albeit with varying classification accuracy due to real- time data collection

Key Words

Sentiment Analysis, Real-Time, Twitter, Random Forest, Naïve Bayes

Cite This Article

"Implementing Sentiment Analysis on Real-Time Twitter Data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 9, page no.707-714, September 2020, Available :http://www.jetir.org/papers/JETIR2009394.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

"Implementing Sentiment Analysis on Real-Time Twitter Data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 9, page no. pp707-714, September 2020, Available at : http://www.jetir.org/papers/JETIR2009394.pdf

Publication Details

Published Paper ID: JETIR2009394
Registration ID: 300396
Published In: Volume 7 | Issue 9 | Year September-2020
DOI (Digital Object Identifier):
Page No: 707-714
Country: Bangalore, Karnataka, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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