A Study the review of Sentiment Analysis of Social Media Data Using Deep Learning

Exploring Sentiment Analysis and Trends in Social Media Data using Deep Learning

Authors

  • Priyesh Upadhyay
  • Dr. Ravindra Tiwari

Keywords:

sentiment analysis, social media data, deep learning, trends, relation, SA, recommendation systems, event tracking, summarization, NLP, social media platforms, Web 2.0, digital social media data, microblogging sites, Twitter, blogs, review collection websites, online forums, big data

Abstract

In the current years, social media became one of the most important sources of data fordifferent data analytic purposes. One of the most important issues is how to map different trends insocial media and define the relation between different groups based on their sentiment or interests. SA,recommendation systems, event tracking, summarization, etc. all rely heavily on it as a component ofNLP. The proliferation of social media platforms, the ease with which users can maintain a constantonline presence, rise of Web 2.0 have all contributed to a meteoric rise in the volume of digital socialmedia data. Microblogging sites like Twitter, blogs, review collection websites, online forums have beencontributing to the large scale of big data.

Downloads

Published

2023-04-08

How to Cite

[1]
“A Study the review of Sentiment Analysis of Social Media Data Using Deep Learning: Exploring Sentiment Analysis and Trends in Social Media Data using Deep Learning”, JASRAE, vol. 20, no. 2, pp. 201–207, Apr. 2023, Accessed: Sep. 19, 2024. [Online]. Available: https://ignited.in/index.php/jasrae/article/view/14368

How to Cite

[1]
“A Study the review of Sentiment Analysis of Social Media Data Using Deep Learning: Exploring Sentiment Analysis and Trends in Social Media Data using Deep Learning”, JASRAE, vol. 20, no. 2, pp. 201–207, Apr. 2023, Accessed: Sep. 19, 2024. [Online]. Available: https://ignited.in/index.php/jasrae/article/view/14368