A review based on sentimental analysis for Hindi language

Abstract

The 'Mother Tongue' of India is considered to be Hindi. The demand for Hindi content rises as the Indian population grows. Hindi is typically used when Indians express their opinions about something. This generates data in Hindi that may later be analyzed. Sentiment analysis (SA) is a category for one of the analyses. SA examines how a speaker or author's emotions, sentiments, and attitudes are expressed in a particular text. SA, occasionally referred to as "Opinion Mining," is a sort of contextual mining that uses algorithmic recognition and categorization to detect the viewpoints expressed in a text and determine whether they are positive, negative, or neutral. Word polarity, that SA gives, enables us to assess the text's impact and decide if it is good or negative. It is possible to implement SA using a variety of methods. There was a lot of study on SA in the English language, but not as much for Hindi. In this essay, SA studies regarding the Hindi language are reviewed and analyzed.