Twitter sentiment analysis

Twitter sentiment analysis

Registration ID: IJNRD_186020

Published ID: IJNRD2301146

DOI: Click Here to Get

Shubham Kumar , Sumit Madhukar , Moumita Mog , Raju Kumar

Machine learning , AI

- Twitter is a micro-blogging website that allows people to share and express their views about topics, or post messages. There has been a lot of work in the Sentiment Analysis of twitter data. This project involves classification of tweets into two main sentiments: positive and negative. In this project, the use of features such as unigram, bigram, POS tagging, and effects of data pre-processing like stemming is observed. Naive Bayes, Support Vector Machines (SVM) and Maximum Entropy (Maxent) are used as the main classifiers. As we shall see in the sections below, SVM with features of unigrams bigrams and stemming, outperforms Naive Bayes.

Published Paper   E-Certificate

"Twitter sentiment analysis", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 1, page no.b396-b399, January-2023, Available :https://ijnrd.org/papers/IJNRD2301146.pdf

Volume 8 Issue 1, January-2023

Pages : b396-b399

Paper Reg. ID: IJNRD_186020

Published Paper Id: IJNRD2301146

Downloads: 000121153

Research Area: Electronics & Communication Engg. 

Country: Roorkee, Uttarakhand, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2301146.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2301146

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

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