Sentiment analysis of twitter accounts using natural language processing

Abstract

Every hour heaps of data are generated by blogs, social websites, and web pages. Many business houses gather all of this data to understand consumers, marketing strategies and their desires better and make appropriate changes to reshape the way businesses work. To extract information from this content, we need to rely on natural language processing (NLP) techniques. Many organizations want to get an overview of any policy or any product launched in the market. The overview of human sentiment can be calculated by using natural language processing through Python as it is a strong and easy language which is spreading across the globe covering its track in every sphere of modern technology.