Domain based sentiment analysis in regional Language-Kannada using machine learning algorithm
V Rohini, Merin Thomas, C. A. Latha · 2016
Sentiment analysis (SA) is one of the important fields of Machine learning Language which involves analysis using natural language processing. The main goal of sentiment analysis is to detect and analyze attitude, opinions or sentiments in the text. Sentiment analysis has reach edits popularity by extracting Knowledge from huge amount data present online. The Process of analysis includes selecting features and opinion which is a challenging task in languages other than English. There are very few research works done for determining sentiments in regional languages. This Paper aims on domain based sentiment analysis in Regional language specific to movie susing machine learning algorithm for classification and provide a comparison between analysis using direct Kannada dataset and machine translated English language.