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Feature Selection using Random Forest Method for Sentiment Analysis
2016
Indian Journal of Science and Technology
Background/Objectives: Online review has become important decision support system for the customers to decide on the subscription or purchse. This paper is aiming to suggest a method that improves the accuracy of the classifier. Methods/ Statistical analysis: Feature selection for sentiment analysis using decision forest method and Principal Component Analysis (PCA) is used for the feature reduction. The proposed method is evaluated using twitter data set. Findings: It is proved, that the
doi:10.17485/ijst/2016/v9i3/86387
fatcat:pcj3tifs6jbihl5bd6ukjcljjy