Social Networking applications are become best place for the people to convey their views on the growth of the society. Studying these views has benefited for more research interest in understand the people and for appropriate decision for the growth. To study the views of the sentiment analysis is the most used technique, which uses NLP, ML to realize the input in terms of positive, negative and neutral opinions. It is more tedious job to analyze the input text shared by the user in social networking applications. Here, proposed a novel bounded logistic regression and inquired with Random Forest techniques with Stand-Up India scheme dataset. From the obtained results, approached technique gives the good accuracy against to other existing approaches.

Tweet cleansing, Sentiment Analysis, Machine Leaning

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