Public Opinion analysis using NLP
Abstract & Details
Research Area
Computer Science and Engineering
Keywords
Python
Machine Learning
Sentiment analysis
Natural language Processing
Abstract
Twitter is a platform widely used by people to express their opinions and display sentiments on different occasions. Sentiment analysis is an approach to analyze data and retrieve sentiment that it embodies. Twitter sentiment analysis is an application of sentiment analysis on data from Twitter (tweets), in order to extract sentiments conveyed by the user. In the past decades, the research in this field has consistently grown. The reason behind this is the challenging format of the tweets which makes the processing difficult. The tweet format is very small which generates a whole new dimension of problems like use of slang, abbreviations etc. In this paper, we aim to review some papers regarding research in sentiment analysis on Twitter, describing the methodologies adopted and models applied, along with describing a generalized Python based approach.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Vikas Maurya | Raj Kumar Goel Institute Of Technology |
| 2 | Shashank shekhar Singh | Raj Kumar Goel Institute Of Technology |
| 3 | Utkarsh Gupta | Raj Kumar Goel Institute Of Technology |
| 4 | Shikhar Chaursiya | Raj Kumar Goel Institute Of Technology |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Maurya, Vikas, Singh, Shashank shekhar, Gupta, Utkarsh, & Chaursiya, Shikhar (2022). Public Opinion analysis using NLP. International Journal of Advance Research and Innovative Ideas In Education, 8(3), 2223-2229.
MLA Style
Maurya, Vikas, et al. "Public Opinion analysis using NLP." International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, 2022, pp. 2223-2229.
IEEE Style
Vikas Maurya, Shashank shekhar Singh, Utkarsh Gupta, and Shikhar Chaursiya, "Public Opinion analysis using NLP," International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, pp. 2223-2229, 2022.
Vancouver Style
Maurya Vikas, Singh Shashank shekhar, Gupta Utkarsh, Chaursiya Shikhar. Public Opinion analysis using NLP. International Journal of Advance Research and Innovative Ideas In Education. 2022;8(3):2223-2229.
Harvard Style
Maurya, Vikas, Singh, Shashank shekhar, Gupta, Utkarsh, & Chaursiya, Shikhar (2022) 'Public Opinion analysis using NLP', International Journal of Advance Research and Innovative Ideas In Education, 8(3), pp. 2223-2229.
Chicago Style
Maurya, Vikas, et al. "Public Opinion analysis using NLP." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 2223-2229.
Turabian Style
Maurya, Vikas, et al. "Public Opinion analysis using NLP." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 2223-2229.
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