Survey Paper on Sentiment Analysis and Detection of Indian Election 2019 on Tweets

Survey Paper on Sentiment Analysis and Detection of Indian Election 2019 on Tweets

Ruby Jaiswal*,

*¹(Department of CSE, Global Nature Care Sangathan's Group of Institutions, Jabalpur)

Abstract

Social media usage is at an all-time high today the digital world. The vast majority of the population uses social media tools (Twitter, Facebook, YouTube, etc.) to share their thoughts and experiences with Society. It is important to analyze the feelings and opinions of ordinary people for government and business. This is the reason behind the fact that many media agencies have been active during the election period to conduct various types of opinion polls. We have worked on this paper analyzes the sentiments of the people of India during the Lok Sabha elections 2019 uses Twitter data for that period. We made an automatic tweet Analyzer that uses the transfer learning technique to handle unauthorized behaviour of this issue. We used the linear support vector classifier method in Machine Learning Model and Term Frequency Inverse Document Frequency (TF-IDF) method for handling text data of tweets. More, we increased the model's ability to address ridiculous tweets Posted by some users.

Keywords: Sentiment Analysis, Sarcasm Detection, Linear SVC, TF-IDF, Political Tweets.