Sentiment_Analysis_Of_Movie_Reviews_Using_Key_Pair_Graph_Analysis | Sentiment Analysis is an automated mining

Sentiment_Analysis_Of_Movie_Reviews_Using_Key_Pair_Graph_Analysis is a Java library. Sentiment_Analysis_Of_Movie_Reviews_Using_Key_Pair_Graph_Analysis has no bugs, it has no vulnerabilities and it has low support. However Sentiment_Analysis_Of_Movie_Reviews_Using_Key_Pair_Graph_Analysis build file is not available. You can download it from GitHub.

Sentiment Analysis is an automated mining of user generated opinionated text data such as reviews,comments and feedback.Sentiment Analysis classify those text data into their respective sentiments of positive , negative or neutral.Most of the researchers focused into this domain using one of the three classifier like SVM,Naive Bayes, and Maximum Entropy. In machine learning there are numbers of classifier model available.In this proposed approach there will be more focus on Mathematical Analysis and Natural Language Processing.The combinational difference between two subsets will provide the answer of movie review being positive or negative.In case of Natural Language Processing three algorithm has been used in this proposed model respectively Co_Occurrence matrix , Knowledge Graph Naive Bayes.To measure the combinational ratio of two subsets, Jaccard Distance has been used.Jaccard Distance is a pretty common technique in Mathematical and Big Data Analysis.In Feature Selection Jaccard Distance and Lexicon Bas