Detecting sentiment orientation using supervised learning

Abstract

Opinion mining is one of the important tasks of natural language processing. Sentiment analysis classify the data into summarization and opinions about the product. The proposed system is based on phrase-level to examine customer reviews. Proposed system extract the features from online reviews and before extracting review it apply pre processing step to each individual sentence of review. This system extract the implicit and explicit features of review. It uses the Apriori algorithm for extracting frequent features. Supervised Naive Bayes determine orientation of extracted aspect Orientation of product review is identified by natural language processing.