Inferring Political Preferences from Twitter

Sentiment analysis is the task of automatic opinions and emotions users towards an entity or some aspect that entity. Political Analysis social media helps political strategists to scrutinize performance a party candidate improvise their weaknesses far before actual elections. During time elections, networks get flooded with blogs, chats, debates discussions about prospects parties politicians. The amount data generated much large study, analyze draw inferences using latest techniques. Twitter one most popular platforms enables us perform domain-specific preparation. In this work, we chose identify inclination present in Tweets by modelling it as text classification problem classical machine learning. tweets related Delhi Elections 2020 are extracted employed for task. Among several algorithms, observe Support Vector Machines portrays best performance.