Sentiment Analysis of Crypto Currency Trading Applications in India Using Machine Learning
摘要
Sentiment analysis is an emerging field of research that aims to understand and analyze the emotions and opinions expressed by individuals through various forms of communication. In recent years, the rise of cryptocurrencies has gained significant popularity in India, with the advent of various crypto trading applications. This study focuses on conducting sentiment analysis of users’ opinions and emotions expressed in reviews and feedback on a crypto currency trading application in India. Machine learning algorithms will be used to process and analyze data obtained from the application. The study aims to provide insights into the overall sentiment of users towards the application and to identify key factors that influence the users’ sentiments. The results obtained from the analysis can help in enhancing the application's user experience by identifying areas of improvement and addressing user concerns.