Classifiers for Sentiment Analysis of YouTube Comments: A Comparative Study-Reference-Cited by-同舟云学术

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Classifiers for Sentiment Analysis of YouTube Comments: A Comparative Study

Published:2024 Issue: Volume: Page:443-451
ISSN:1860-4862
Container-title:Signals and Communication Technology
language:en
Short-container-title:

Author:

Nahas Naeema,Swetha P.,Nandakumar R.

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-47942-7_38

Reference18 articles.

1. Singh, R., Tiwari, A.: YouTube comments sentiment analysis. Int. J. Sci. Res. Eng. Manag. 5(5), 1–11 (2021)

2. Kavitha, K.M., Shetty, A., Abreo, B., D’Souza, A., Kondana, A.: Analysis and classification of user comments on YouTube videos. Procedia Comput. Sci. 177, 593–598 (2020)

3. Lorentz, I., Singh, G.: Sentiment Analysis on YouTube Comments to Predict YouTube Video Like Proportions, Degree Project in Technology, Sweden (2021)

4. Pokharel, R., Bhatta, D.: Classifying YouTube comments based on sentiment and type of sentence. arXiv preprint arXiv:2111.01908 (2021)

5. Ansari, U.M.M.Z.: Sentiment Analysis on YouTube Comments: A Brief Study (2019)

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Analysis of YouTube Video Comments with NLP Methods;2024 16th International Conference on Electronics, Computers and Artificial Intelligence (ECAI);2024-06-27

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