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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM37062

Sentiment Analysis Prediction of Social Media Text Using Deep Learning Techniques

Stream/Area:

-

Subject:

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Paper ID:

10.55041/IJSREM37062

Volume:

8 |

8 |

Aug 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM37062

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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RRP

Rashidkhan R Pathan

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Abstract

Social media platforms have revolutionised interpersonal interaction and communication, becoming an essential part of our everyday life. Examining the wide variety of research studies carried out in this field is essential to developing a thorough understanding of FL’s impacts on social media content. The purpose of this study of the literature is to critically analyse the body of knowledge about the impact of figurative language, including oxymoron, sarcasm, and euphemism, on social media posts. This review of the literature looks for important discoveries, patterns, and knowledge gaps by analysing and synthesising the body of current research.

KEYWORDS

Sentiment Analysis Prediction Social Media Text Using Deep Learning Techniques

Cite This Article

Rashidkhan R Pathan, "Sentiment Analysis Prediction of Social Media Text Using Deep Learning Techniques," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 8, Aug 2024. https://doi.org/10.55041/IJSREM37062

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Publication Date

8/13/2024

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Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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