Sentiment Analysis Using Telugu SentiWordNet

Sentiment analysis in dialects with few assets and territorial dialects has turned into another area in regular language handling lately. Scientists are more keen on sorting out how individuals feel in Indian dialects like Hindi, Telugu, Tamil, Bengali, Malayalam, etc. Supposedly, no nitty-gritty work has been finished on Indian dialects so far in light of the fact that there aren't an adequate number of marked informational indexes. In this work, we recommended that Telugu SentiWordNet be utilized to break down the mindset of Telugu news words in two stages. In the first place, it recognizes the meaning of subjectivity, which is the way words are marked as abstract or goal. Since they have no profound worth, objective words are treated as though they have no close-to-home estimation. Then, Feeling Order was finished, where the abstract sentences were additionally arranged into good and pessimistic expressions. With the ongoing Telugu SentiWordNet, our recommended framework gets a predisposition grouping accuracy of 74% and a temperament characterization exactness of 83%.