Sentiment Analysis of Twitter Data Using Clustering and Classification-Reference-Cited by-同舟云学术

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Sentiment Analysis of Twitter Data Using Clustering and Classification

Published:2022-07-03 Issue: Volume: Page:651-664
ISSN:2367-3370
Container-title:Proceedings of Third International Conference on Computing, Communications, and Cyber-Security
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Author:

Modak Santanu,Mondal Abhoy Chand

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-1142-2_51

Reference43 articles.

1. Wongkar, M., & Angdresey, A. (2019). Sentiment analysis using Naive Bayes algorithm of the data crawler: Twitter. In Fourth International Conference on Informatics and Computing (ICIC) (Vol. 96, No. 2, pp. 555–563).

2. Mandloi, L., & Patel, R. (2020). Twitter sentiments analysis using machine learning methods. In International Conference for Emerging Technology (INCET).

3. Park, C. W., & Seo, D. R. (2018). Sentiment analysis of Twitter corpus related to artificial intelligence assistants. In 5th International Conference on Industrial Engineering and Applications (ICIEA) (Vol. 6, No. 10, pp. 267–274).

4. Zahoor, S., & Rohilla, R. (2020). Twitter sentiment analysis using machine learning algorithms: A case study. In International Conference on Advances in Computing, Communication & Materials (ICACCM).

5. Bhasin, A., & Das, S. (2021). Twitter sentiment analysis using machine learning and Hadoop: A comparative study. In 2nd International Conference on Secure Cyber Computing and Communications (ICSCCC).

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