Evaluation Method of Tourist Attractions based on Emotional Information Extraction and Semantic Analysis

摘要

To improve the reasonability of evaluation of tourist spots, a method for evaluation of tourist spots based on emotional information extraction and semantic analysis has been proposed. Firstly, select scenic spots of research on tourist spots and make data establishment, and build the index system and classification method. Secondly, evaluate the class probability of scenic spots given via calculation of feature items and class joint probability of scenic spots by Naive Bayes classifier so as to forecast class of scenic spots. Then, establish the latent semantic model of evaluation of scenic spots. Finally, with expert interviews, survey phone No., field investigation and other methods, verify 52 scenic spots in experimental result one by one. Results show that the evaluation of tourist spots basically meets objective reality, which further verifies the practicality and efficiency of such method.