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Title: :  Exploring Sentiment Trends on Twitter: A Machine Learning Approach for Analyzing Public Opinion
PaperId: :  22811
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 2 2024
DUI:    16.0415/IJARIIE-22811
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Darshan Ravindra PatilGovernment Polytechnic Jalgaon
Vaibhav Ramachandra ChavanGovernment Polytechnic Jalgaon

Abstract

Information Technology
sentiment analysis; text classification; natural language processing; Twitter
With the exponential growth of web technology, the volume of data on the internet has reached unprecedented levels. The internet has evolved into a platform for online learning, idea exchange, and opinion sharing. Social networking sites such as Twitter, Facebook, and Google+ have gained immense popularity, enabling users to share views, engage in discussions, and post messages globally. This survey focuses on sentiment analysis of Twitter data, which is crucial for analyzing opinions expressed in tweets, known for their unstructured and heterogeneous nature. We provide an overview and comparative analysis of existing sentiment analysis techniques, including machine learning and lexicon-based approaches, along with evaluation metrics. We explore the use of machine learning algorithms such as Naive Bayes, Maximum Entropy, and Support Vector Machine for sentiment analysis of Twitter data streams. Additionally, we discuss the general challenges and applications of sentiment analysis on Twitter.

Citations

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IJARIIE Darshan Ravindra Patil, and Vaibhav Ramachandra Chavan. "Exploring Sentiment Trends on Twitter: A Machine Learning Approach for Analyzing Public Opinion" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 2 2024 Page 2864-2871
MLA Darshan Ravindra Patil, and Vaibhav Ramachandra Chavan. "Exploring Sentiment Trends on Twitter: A Machine Learning Approach for Analyzing Public Opinion." International Journal Of Advance Research And Innovative Ideas In Education 10.2(2024) : 2864-2871.
APA Darshan Ravindra Patil, & Vaibhav Ramachandra Chavan. (2024). Exploring Sentiment Trends on Twitter: A Machine Learning Approach for Analyzing Public Opinion. International Journal Of Advance Research And Innovative Ideas In Education, 10(2), 2864-2871.
Chicago Darshan Ravindra Patil, and Vaibhav Ramachandra Chavan. "Exploring Sentiment Trends on Twitter: A Machine Learning Approach for Analyzing Public Opinion." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 2 (2024) : 2864-2871.
Oxford Darshan Ravindra Patil, and Vaibhav Ramachandra Chavan. 'Exploring Sentiment Trends on Twitter: A Machine Learning Approach for Analyzing Public Opinion', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, 2024, p. 2864-2871. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Exploring_Sentiment_Trends_on_Twitter__A_Machine_Learning_Approach_for_Analyzing Public Opinion_ijariie22811.pdf (Accessed : 22 March 2025).
Harvard Darshan Ravindra Patil, and Vaibhav Ramachandra Chavan. (2024) 'Exploring Sentiment Trends on Twitter: A Machine Learning Approach for Analyzing Public Opinion', International Journal Of Advance Research And Innovative Ideas In Education, 10(2), pp. 2864-2871IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Exploring_Sentiment_Trends_on_Twitter__A_Machine_Learning_Approach_for_Analyzing Public Opinion_ijariie22811.pdf (Accessed : 22 March 2025)
IEEE Darshan Ravindra Patil, and Vaibhav Ramachandra Chavan, "Exploring Sentiment Trends on Twitter: A Machine Learning Approach for Analyzing Public Opinion," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, pp. 2864-2871, Mar-App 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/Exploring_Sentiment_Trends_on_Twitter__A_Machine_Learning_Approach_for_Analyzing Public Opinion_ijariie22811.pdf [Accessed : 22 March 2025].
Turabian Darshan Ravindra Patil, and Vaibhav Ramachandra Chavan. "Exploring Sentiment Trends on Twitter: A Machine Learning Approach for Analyzing Public Opinion." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 2 (22 March 2025).
Vancouver Darshan Ravindra Patil, and Vaibhav Ramachandra Chavan. Exploring Sentiment Trends on Twitter: A Machine Learning Approach for Analyzing Public Opinion. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : 22 March 2025]; 10(2) : 2864-2871. Available from: https://ijariie.com/AdminUploadPdf/Exploring_Sentiment_Trends_on_Twitter__A_Machine_Learning_Approach_for_Analyzing Public Opinion_ijariie22811.pdf
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