Sentiment Analysis on Facebook comment using Machine Learning
Abstract & Details
Research Area
Computer Engineering
Keywords
Sentiment Analysis
Application-oriented Analysis
Machine Learning Algorithms
performance Analysis
Research Gaps and Challenges
Abstract
Sentiment Analysis stands for outstanding studies subject matter in call for beneathneath the Natural language processing (NLP). The essential goal of this studies subject matter is to identify out the feelings and opinion of the consumer or clients via textual content basis. Even via numerous models. Sentiment evaluation nevertheless taken into consideration as hard hassle with such a lot of struggle to solved. Some of the demanding situations are because of the slag words, spelling mistakes, grammatical and new accents etc. The paper plans to make a overview the usage of one-of-a-kind gadget getting to know algorithms with numerous data. The modern literature overview temps to survey almost 20 contributions, which covers one-of-a-kind forms of programs getting used for sentimental evaluation. At first, the evaluation specializes in illustrating the contributions of every paintings and observes the sort of gadget getting to know algorithms used .The evaluation additionally concentrates at the become aware of the non-saturated utility for which the sentimental evaluation in wanted maximum in upcoming studies.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Nivedita Mishra | Institute of Technology and Management Gida, Gorakhpur |
| 2 | Priya Srivastava | Institute of Technology and Management Gida, Gorakhpur |
| 3 | Shikha Gupta | Institute of Technology and Management Gida, Gorakhpur |
| 4 | Saumya Srivastava | Institute of Technology and Management Gida, Gorakhpur |
| 5 | Mr. Mahendra Sonker | Institute of Technology and Management Gida, Gorakhpur |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Mishra, Nivedita, Srivastava, Priya, Gupta, Shikha , Srivastava, Saumya, & Sonker, Mr. Mahendra (2022). Sentiment Analysis on Facebook comment using Machine Learning. International Journal of Advance Research and Innovative Ideas In Education, 8(2), 1260-1267.
MLA Style
Mishra, Nivedita, et al. "Sentiment Analysis on Facebook comment using Machine Learning." International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 2, 2022, pp. 1260-1267.
IEEE Style
Nivedita Mishra, Priya Srivastava, Shikha Gupta, Saumya Srivastava, and Mr. Mahendra Sonker, "Sentiment Analysis on Facebook comment using Machine Learning," International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 2, pp. 1260-1267, 2022.
Vancouver Style
Mishra Nivedita, Srivastava Priya, Gupta Shikha , Srivastava Saumya, Sonker Mr. Mahendra. Sentiment Analysis on Facebook comment using Machine Learning. International Journal of Advance Research and Innovative Ideas In Education. 2022;8(2):1260-1267.
Harvard Style
Mishra, Nivedita, Srivastava, Priya, Gupta, Shikha , Srivastava, Saumya, & Sonker, Mr. Mahendra (2022) 'Sentiment Analysis on Facebook comment using Machine Learning', International Journal of Advance Research and Innovative Ideas In Education, 8(2), pp. 1260-1267.
Chicago Style
Mishra, Nivedita, et al. "Sentiment Analysis on Facebook comment using Machine Learning." International Journal of Advance Research and Innovative Ideas In Education 8, no. 2 (2022): 1260-1267.
Turabian Style
Mishra, Nivedita, et al. "Sentiment Analysis on Facebook comment using Machine Learning." International Journal of Advance Research and Innovative Ideas In Education 8, no. 2 (2022): 1260-1267.
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