Abstract

With development of Internet and Natural Language processing, use of regional languages is also grown for\ncommunication. In India people express their views by using mother tongue such as Hindi, Bengali, Kannada, Marathi etc.\nAs Hindi is fourth most spoken language in the world therefore many researchers are working on Hindi Sentiment Analysis.\nSentiment Analysis is natural language processing task that mine information from various text forms such as blogs, reviews\nand classify them on basis of polarity as positive, negative or neutral. A speech is combination of variety of topics. So there is\nrequirement for classifying given Hindi speech document in to different classes and then extract sentiments in terms of\npositive, negative and neutral such as joy, love, surprise, anger, disappointment and worry. In this paper a study is presented\non classification of Hindi text documents into multiple classes with the help of machine learning. Further study is given for\nsentiment analysis which may be carried out by using machine learning to determine the polarity of individual class.