Analyzing of Political Tweets in Hindi Language Using Machine Learning and Deep Learning

Abstract

Sentiment Analysis is a natural language processing task where we identify and categorize opinions based on piece of text. It is the mostly used when determining the sentiment of a text including product reviews, movies and so on. In this paper, we will first identify the text with positive, negative and neutral sentiment polarities from the dataset which obtained using tweepy. It is a library for accessing the twitter Api. The text pieces are in Hindi language and we will pre-process the data and train the dataset and apply various machine learning classifiers K-Nearest Neighbors(KNN), Decision Tree, Support Vector Machine(SVM) and also apply deep learning classifier Long short term memory model(LSTM) and get the performance of the model for the dataset.