A Survey on Code-Mixed Sentiment Analysis Based on Hinglish Dataset

In recent years, the use of the Internet has been proliferating. Organizations use social media platforms to promote their products and find people’s opinions about their products. People share their experiences, views, and thoughts on social media platforms such as Twitter, Facebook, LinkedIn. Business organizations analyze the posts created by the users about their products through sentiment analysis. India is multilingual, so people use multiple languages to post their opinion, e.g., English and Hindi. Code-mixed language is a way in which people use words of different languages to express their thoughts. There is limited research done on code-mixed languages such as Hinglish, even though a great deal of effort has been devoted to assessing the sentiments of a single language. A comprehensive review of the Hinglish dataset is offered in this study. In this research, we first discuss several datasets used by the researchers to tackle this problem and then perform some extensive investigation to look more closely at them. Then, we examine several efficient approaches for categorizing sentiment for the Hinglish dataset.