Abstract
Abstract: Protests are a critical part of democracy and a crucial medium for people to deliver their needs and/or dissatisfaction to the authorities. As farmers felt a threat to their rights, there were more and more protests all around the nation. With the development of this technology, additionally there has been a sudden rise in the use of social network sites to trade facts and ideas. In this study, we collected information from the social networking internet site Twitter regarding the Farmers’ protest to apprehend the feelings that the twitter users shared on a worldwide platform. In the midst of this protest, social media users had been very lively in voicing their opinion about the matter using the "#FarmersProtest". With lots of people tweeting with the hashtag daily. Through the Stance Prediction of over 850,000 tweets and over 150,000 Users, We intend to decide the Inclination of Common Citizen in addition to Influential People on the now repealed Laws. Keywords: Stance Detection, ULMFIT, Language Model, Farmers, Twitter
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
