Recent Advances in Sentiment Analysis of Indian Languages

  • Mahesh B. Shelke, Sachin N. Deshmukh


In the era of technology, each and every one of us is expressing their opinion on social media platforms very frequently. And these opinions are mostly expressed in regional languages, so the contents mostly generated are in regional languages in nature. Sentiment Analysis (SA) is a natural language processing task that is defined as finding opinion (In the sense of Positive, Negative, or Neutral) of the writer about specific entities. This includes analyzing a person’s emotions, feelings, and attitudes towards his contents. This paper gives a comparative analysis of sentiment analysis performed in various Indian languages, which includes classification techniques which are based on Lexicon, Dictionary, and Machine Learning. And it also gives a list of lexical resources available to perform Sentiment Analysis (SA) of Indian Languages and the challenges of developing lexical resources for low resourced Indian languages.