Tendency of Restaurant Reviews Mining Model Combining FP-Tree Algorithm

A restaurant review tendentious mining method that combines FP-Tree algorithm is presented to dig and identify high-frequency noun pairs in reviews associated with services, the environment, food, to name just a few, by mining association rules. A feature word dictionary is established and Training the training set for sentence template which is form of Part of Speech tags and match the comments with different sentence template to calculate with feature score and total score. This idea can also be used to analyze product features and areas in which UGC score calculation is needed.