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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Issue: November 2022

Volume 7 | Issue 11

Impact factor: 8.15

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Paper Title: A Comparative Analysis of Different Machine Learning Classification Models for Sentiment Analysis
Authors Name: Aryaman Jain , Vanshita Tongia
Unique Id: IJSDR2211044
Published In: Volume 7 Issue 11, November-2022
Abstract: With the world transforming into a digital age, the generation of textual documents is increasing at an unprecedented rate. This has consequently given rise to the need to organize these documents into proper categories and structure. Text classification, also known as text categorization, is the process of categorizing text into organized groups. In this paper, IMDB dataset of fifty thousand movie reviews is assessed and a classification system is designed. It compares Linear SVC, Bernoulli Naive Bayes, Logistic Regression, Multinomial Naïve Bayes and Random Forest as classification algorithms for applying sentiment analysis and finding the polarity of the given review. These classifiers were tested, analysed and compared with each other and finally a conclusion was obtained. The authors decided to show the comparison based on several parameters such as precision, accuracy, F1-score, recall and confusion matrix. The classifier which gets the highest among all these parameters is termed as the best machine learning algorithm for the text sentiment analysis of IMDB review data set.
Keywords: Text Classification, Sentiment Analysis, Machine Learning, Logistic Regression, Random Forest, Multinomial Naïve Bayes, Bernoulli’s Naïve Bayes, Linear Support Vector Classifier, Natural language processing
Cite Article: "A Comparative Analysis of Different Machine Learning Classification Models for Sentiment Analysis", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.7, Issue 11, page no.270 - 277, November-2022, Available :http://www.ijsdr.org/papers/IJSDR2211044.pdf
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Publication Details: Published Paper ID: IJSDR2211044
Registration ID:202494
Published In: Volume 7 Issue 11, November-2022
DOI (Digital Object Identifier):
Page No: 270 - 277
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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