Sentiment Analysis Prediction of Social Media Text Using Deep Learning Techniques

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

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Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2024-08-13
DOI
https://doi.org/10.55041/ijsrem37062
Primary Topic
Sentiment Analysis and Opinion Mining
Type
article
Field-Weighted Citation Impact
0.00
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article

Sentiment Analysis Prediction of Social Media Text Using Deep Learning Techniques

Rashidkhan R Pathan -
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Sentiment Analysis and Opinion Mining
article

Sentiment Analysis Prediction of Social Media Text Using Deep Learning Techniques

Rashidkhan R Pathan -
article en

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

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 08(008)
Quality Education
Openalex Percentile: Top 89%
Sentiment Analysis and Opinion Mining
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