Opinion Mining In Hindi Language: A Survey

TL;DR

This survey reviews the development of opinion mining and sentiment analysis techniques specifically for the Hindi language, highlighting the importance and challenges of processing Hindi web content.

Contribution

It provides a comprehensive overview of existing research and methods for opinion mining in Hindi, a less-explored language in this domain.

Findings

Growing amount of Hindi web content analyzed for sentiment.

Limited research compared to English opinion mining.

Need for more advanced Hindi-specific sentiment analysis tools.

Abstract

Opinions are very important in the life of human beings. These Opinions helped the humans to carry out the decisions. As the impact of the Web is increasing day by day, Web documents can be seen as a new source of opinion for human beings. Web contains a huge amount of information generated by the users through blogs, forum entries, and social networking websites and so on To analyze this large amount of information it is required to develop a method that automatically classifies the information available on the Web. This domain is called Sentiment Analysis and Opinion Mining. Opinion Mining or Sentiment Analysis is a natural language processing task that mine information from various text forms such as reviews, news, and blogs and classify them on the basis of their polarity as positive, negative or neutral. But, from the last few years, enormous increase has been seen in Hindi language on the Web. Research in opinion mining mostly carried out in English language but it is very important to perform the opinion mining in Hindi language also as large amount of information in Hindi is also available on the Web. This paper gives an overview of the work that has been done Hindi language.