Sentiment Connect: Opinion Mining on Education System In India

Authors

  • Ashutosh J
  • Chaitanya K
  • Himanshu N
  • Ritesh P
  • Tanmay T
  • Chandrayani Rokde

Keywords:

Sentiment Analysis, Twitter opinion mining, Logistic Regression.

Abstract

Social networking services have become a popular way of communication among internet users in recent years. They provide instruments for people to express themselves, discuss their feelings, and react to current events. These sites have a large volume of data, which has led to an increase in sentiment analysis and opinion mining studies. The project's goal is to do sentiment analysis utilizing Twitter, a popular microblogging and social communication network. To capture public sentiment on education policy, real-time data can be automatically streamed using the Twitter API. By taking into consideration the public's ideas and opinions, the initiative will aid in the resolution of issues that arise during the implementation of educational programs and reforms.

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Published

2022-05-04

How to Cite

Ashutosh J, Chaitanya K, Himanshu N, Ritesh P, Tanmay T, & Chandrayani Rokde. (2022). Sentiment Connect: Opinion Mining on Education System In India. International Journal of Progressive Research in Science and Engineering, 3(04), 161–165. Retrieved from https://journal.ijprse.com/index.php/ijprse/article/view/551

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Section

Articles