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Call for Papers:Vol.11 Issue.3

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Title: :  SENTIMENT ANALYSIS ON COMMENT USING MACHINE LEARNING
PaperId: :  16636
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 8 Issue 3 2022
DUI:    16.0415/IJARIIE-16636
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Nivedita Mishra Institute of Technology and Management Gida, Gorakhpur
Priya Srivastava Institute of Technology and Management Gida, Gorakhpur
Saumya Srivastava Institute of Technology and Management Gida, Gorakhpur
Shikha Gupta Institute of Technology and Management Gida, Gorakhpur

Abstract

Computer Engineering
Sentiment Analysis, Machine learning, Classifiers Precision, Recall, F1 Score.
In this work, I present a methodology that uses social media to analyze a person's sentiment and emotion. Face-book is utilizing machine learning. This initiative will assist them in understanding their situation and improving their emotional stability. The goal of this study is to retrieve and pre-process social media data in order to do sentiment analysis, which is a type of natural language processing. For improved sentiment analysis, the most important aspect of this article is to demonstrate how people feel about certain social media statuses, which will be used to classify them. The amount of data created has continually increased, and an ever-increasing variety of data types are being stored in unstructured or semi-structured pages: arranged configurations. Slant Analysis is a technique for extracting emotional information from online data. Assumption testing allows computers to automate human-like tasks by making decisions based on assumptions made in comments or posts on social media sites. In this research, we used five different machine learning approaches to assess the sentiments of Face-book comments: Nave Byes, SVM, Random Forest, KNN, and Decision tree. Different performance measures such as Precision, Recall, and F1-score were used to evaluate these five classifiers.

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IJARIIE Nivedita Mishra , Priya Srivastava , Saumya Srivastava , and Shikha Gupta . "SENTIMENT ANALYSIS ON COMMENT USING MACHINE LEARNING" International Journal Of Advance Research And Innovative Ideas In Education Volume 8 Issue 3 2022 Page 621-628
MLA Nivedita Mishra , Priya Srivastava , Saumya Srivastava , and Shikha Gupta . "SENTIMENT ANALYSIS ON COMMENT USING MACHINE LEARNING." International Journal Of Advance Research And Innovative Ideas In Education 8.3(2022) : 621-628.
APA Nivedita Mishra , Priya Srivastava , Saumya Srivastava , & Shikha Gupta . (2022). SENTIMENT ANALYSIS ON COMMENT USING MACHINE LEARNING. International Journal Of Advance Research And Innovative Ideas In Education, 8(3), 621-628.
Chicago Nivedita Mishra , Priya Srivastava , Saumya Srivastava , and Shikha Gupta . "SENTIMENT ANALYSIS ON COMMENT USING MACHINE LEARNING." International Journal Of Advance Research And Innovative Ideas In Education 8, no. 3 (2022) : 621-628.
Oxford Nivedita Mishra , Priya Srivastava , Saumya Srivastava , and Shikha Gupta . 'SENTIMENT ANALYSIS ON COMMENT USING MACHINE LEARNING', International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 3, 2022, p. 621-628. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/SENTIMENT_ANALYSIS_ON_COMMENT_USING_MACHINE_LEARNING_ijariie16636.pdf (Accessed : ).
Harvard Nivedita Mishra , Priya Srivastava , Saumya Srivastava , and Shikha Gupta . (2022) 'SENTIMENT ANALYSIS ON COMMENT USING MACHINE LEARNING', International Journal Of Advance Research And Innovative Ideas In Education, 8(3), pp. 621-628IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/SENTIMENT_ANALYSIS_ON_COMMENT_USING_MACHINE_LEARNING_ijariie16636.pdf (Accessed : )
IEEE Nivedita Mishra , Priya Srivastava , Saumya Srivastava , and Shikha Gupta , "SENTIMENT ANALYSIS ON COMMENT USING MACHINE LEARNING," International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 3, pp. 621-628, May-Jun 2022. [Online]. Available: https://ijariie.com/AdminUploadPdf/SENTIMENT_ANALYSIS_ON_COMMENT_USING_MACHINE_LEARNING_ijariie16636.pdf [Accessed : ].
Turabian Nivedita Mishra , Priya Srivastava , Saumya Srivastava , and Shikha Gupta . "SENTIMENT ANALYSIS ON COMMENT USING MACHINE LEARNING." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 8 number 3 ().
Vancouver Nivedita Mishra , Priya Srivastava , Saumya Srivastava , and Shikha Gupta . SENTIMENT ANALYSIS ON COMMENT USING MACHINE LEARNING. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2022 [Cited : ]; 8(3) : 621-628. Available from: https://ijariie.com/AdminUploadPdf/SENTIMENT_ANALYSIS_ON_COMMENT_USING_MACHINE_LEARNING_ijariie16636.pdf
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