Machine Learning Approaches for Sentiment Analysis in Hindi Text: A Comprehensive Survey

Sentiment analysis from Hindi text is a growing area of research, aiming to understand and categorize the emotions expressed in written content in the Hindi language. Because there is a lot of information on the internet in Indian languages like Hindi, Malyalam, Punjabi, Gujrati, Bengali and others, it is very important to study and find useful and important information from this data. This survey paper offers a summary of the latest progressions and challenges in sentiment analysis specifically tailored for Hindi text. There are four main computational intelligence techniques for getting sentiment from hindi text namely Machine Learning, Deep Learning, Lexicon-based, and Hybrid techniques. In this survey paper we concentrate on Machine learning and Deep learning techniques. This paper discusses about sentiment analysis and their levels, different machine learning models with their features and also the whole process for getting sentiment using machine learning. Furthermore, the paper highlights the challenges associated with sentiment analysis in Hindi, such as the lack of standardized resources, code-mixing, and dialectical variations.