Relook into Sentiment Analysis performed on Indian Languages using Deep Learning
Koyel Chakraborty, Rajib Bag, Siddhartha Bhattacharyya · 2018
Sentiment analysis in various Indian languages has been gaining huge recognition recently for the overall trend to take decisions based on reviews in almost all aspects of judgement making. With the sudden ascend of availability in the amount of data in the internet, extorting information from the opinions expressed by humans enhances in better understanding of their sentiments which is quite a challenging task. Recently, deep learning utilises its automatic feature learning techniques to outdo most of the state-of-the-art traditional methods of analysing sentiments. This paper aims to present the works that has already been done regarding analysis of sentiments in most available yet underrated Indian languages. Other than this, the probable problem domains are explored which can be solved in the area of multilingual sentiment analysis.