The hybrid Partical Swarm Optimization (PSO) is used to improve the election of best parameter in order to solve the dual optimization problem. This justification is based on the accuracy level of SVM with the validation process uses 10-Fold cross validation and confusion matrix. The positive class shows good message opinion otherwise the negative class shows the bad message opinion of certain movies. This research concerns on binary classification which is classified into two classes. Support Vector Machine (SVM) is supervised learning methods that analyze data and recognize the patterns that are used for classification. Opinion mining refers to the application of natural language processing, computational linguistics, and text mining to identify or classify whether the movie is good or not based on message opinion. Based on this condition, t his research attempts to use the messages of twitter to review a movie by using opinion mining or sentiment analysis. The messages on Twitter include reviews and opinions on certain topics such as movie, book, product, politic, and so on. ![]() The faster message and ease of use in social media today is Twitter. ![]() ![]() Nowadays, online social media is online discourse where people contribute to create content, share it, bookmark it, and network at an impressive rate.
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