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
Authors
- Rashidkhan R Pathan -
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