Text Sentiment Analysis on Twitter to Identify Positive or Negative Context in Addressing Inept Regulations on Social Media Platform
Yu Qing Lim, Chun Ming Lim, Keng Hoon Gan, Nur Hana Samsudin · 2020
The growth of social media in this digital era is staggering. People take to this new-found platform to expression their views and idea, resulting a growing number of problems in the social media platform due to regulatory bodies struggled to keep up with the growth. In this paper, we will explore the problems caused by the slack and irresponsible users of social media, and how text sentiment analysis on Twitter can be used to identify the problem, and help in drafting regulations to produce a better social media platform ecosystem.