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Improved Sentimental Analysis to the Movie Reviews using Naive Bayes Classifier

Sentimental analysis is an understanding and classification process of human sentiments about a particular product/service. It is involved in all departmental field to get the customer opinion towards the particular product/service through online feedback or symbols in social media. The human opinion about the product/ service is reflected as positive or negative or neutral feelings. It is identified as opinion mining gleaning conception among the things connected with human. Sentimental analysis is an interesting research among human view, sentiments, attitudes and emotions, articulated and composed in different language through different multimedia data. It applied to movie review application to monitor and analyze the social occurrences about the movie. It involves collection of data, extraction of data, classification and evaluation of data. The resource provider gets the feedback/opinion about their resource through text analysis. The proposed research work analyzes a remedy in favor of sentiment classification using Naive Bayes Classifier at a fine-grained level. An improved sentiment analysis to movie reviews application is implemented in python using Machine learning and Flask framework.