Sentimental Analysis of Twitter Data with respect to General Elections in India

Author:

Sharma Ankita,Ghose Udayan

Publisher

Elsevier BV

Subject

General Engineering

Reference29 articles.

1. Younis, Eman MG. (2015) "Sentiment analysis and text mining for social media microblogs using open source tools: an empirical study." International Journal of Computer Applications, 112(5): 0975 – 8887.

2. Alhum oud, Sarah, Tarfa Albuhairi, and Wejdan Alohaideb. (2015) "Hybrid sentiment analyser for Arabic tweets using R."7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K), 1: 417-424.

3. Pak, Alexander, and Patrick Paroubek (2010) "Twitter as a corpus for sentiment analysis and opinion mining." Proceeding of LREC, 10.

4. Garg, Neha, and Rinkle Rani (2017) "Analysis and visualization of Twitter data using k-means clustering." International Conference on Intelligent Computing and Control Systems (ICICCS), IEEE, 670-675.

5. Das, Sourav, and Anup Kumar Kolya (2017)"Sense GST: Text mining & sentiment analysis of GST tweets by Naive Bayes algorithm." Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN), IEEE, 239-244.

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