Exploring Public Perception and Opinion Trends on Agnipath Scheme Through Sentiment Analysis and Topic Modeling of Tweets-Reference-Cited by-同舟云学术

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Exploring Public Perception and Opinion Trends on Agnipath Scheme Through Sentiment Analysis and Topic Modeling of Tweets

Published:2024 Issue: Volume: Page:743-752
ISSN:2194-1009
Container-title:Springer Proceedings in Mathematics & Statistics
language:en
Short-container-title:

Author:

Boddapati Mohan Sai Dinesh^ORCID,Desamsetti Sri Aravind^ORCID,Hussain S. Mahaboob^ORCID,Rao V. V. R. Maheswara^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-51167-7_71

Reference18 articles.

1. Twitter, Fourth Quarter and Fiscal Year 2021 Results, (2022), Retrieved from https://investor.twitterinc.com/home/default.aspx

2. Statista, Number of Twitter Users Worldwide from 2017 to 2025 (in Millions), (2021), Retrieved from https://www.statista.com/statistics/282087/number-of-monthly-active-twitter-users/

3. A. Go, L. Huang, RichaBhayani., Twitter sentiment analysis. Entropy 17, 252 (2009)

4. H. Rehioui, A. Idrissi, New clustering algorithms for twitter sentiment analysis. IEEE Syst. J. 14(1), 530–537 (2020). https://doi.org/10.1109/JSYST.2019.2912759

5. A. Severyn, A. Moschitti, Twitter sentiment analysis with deep convolutional neural networks, in Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, (2015)

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