• AYAZ AHMED FARIDI
• TRYAMBAK HIWARKAR

Due to the increase in the amount of Hindi content on the web in the past years, there is a greater need to do sentiment analysis for the Hindi language. Sentiment analysis (SA) is a function that finds orientation in a fraction of information in relation to an entity. It analyzes from the information given about the information, feelings and attitude of a speaker or writer. Sentiment analysis involves capturing user behavior, likes and dislikes from text. The job of most of the SA system is to identify the feelings expressed on a unit, and then classify it into a positive or negative emotion. Our proposed system for analyzing the sentiment of Hindi film review to find the overall feeling associated with the document. The negativity and discourse relationships that mostly exist in Hindi film reviews are controlled to improve the performance of the system. The basic task of sentiment analysis is classifying the polarity of given text at the document; sentence level is positive, negative or neutral. It also analyses at emotion state such as "angry", "sad" and "happy". With the rapid growth of user-generated data on the web, people are using online review sites, blogs, forums, Social Networking sites and express their opinions.

SentiWordNet, Synset Replacement, Sentiment Analysis (SA), Polarity, HindiSentiWordNet (HSWN).

"“A MACHINE LEARNING APPROACH FOR POLARITY DETECTION REVIEWS IN HINDI LANGUAGE USING EXISTING CLASSIFICATION TECHNIQES”", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.e185-e189, May-2022, Available :http://www.jetir.org/papers/JETIR2205526.pdf

"“A MACHINE LEARNING APPROACH FOR POLARITY DETECTION REVIEWS IN HINDI LANGUAGE USING EXISTING CLASSIFICATION TECHNIQES”", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. ppe185-e189, May-2022, Available at : http://www.jetir.org/papers/JETIR2205526.pdf