Study On The Evaluation Of Tourist Destination Image From The Perspective Of Online Tourism Communities

In the web2.0,users are not only consumers of information,but also producers of information.UGC(User Generated Content)has begun to become the main information content on the Internet.Under this background,online tourism communities have emerged at the historic moment,more and more users have obtained the travel information they want through the online tourism community,and at the same time published their own evaluations and experiences of tourist destinations through the online tourism community.Therefore,the user-generated content on these online tourism communities is the most direct reflection of the tourist destination image in the user 's mind.Research and analysis of these content can understand the perception and emotional of the tourist destination image in the user 's mind,thereby helping the tourist destination management department to make targeted changes to tourism destinations.The purpose of this article is to analyze and research the user-generated content of online tourism communities,to extract the tourist destinations image in online tourism communities,and to further comprehensively evaluate them.The main research contents can be divided into the following contents:(1)Establish a tourism destination image evaluation system.By collecting 20,407 reviews of tourist destinations in 13 provinces and cities in China,the corresponding corpus was constructed.Using the grounded theory and content analysis methods,a corresponding tourism destination image evaluation system was constructed,and its rationality were tested.(2)Analyze the sentiment of user-generated content based on sentiment dictionary.Firstly,based on the analysis of the corpus,a tourism thesaurus dictionary describing all aspects of the tourist destination was constructed,and the emotional dictionary related to the tourism field and the emerging online vocabulary were added to the existing emotional dictionary to build tourism emotion dictionary.Finally combined with the emerging network vocabulary,expanded the adverb dictionary,negative word dictionary and stop word dictionary.Based on this,a sentiment classification model is constructed for sentiment analysis of user-generated content.This article selects Nanjing Confucian Temple Area as the object of empirical analysis,and conducts sentiment analysis on the online reviews of Confucian Temple Area,which proves the effectiveness of the method.(3)Evaluate the tourist destination image based on fuzzy comprehensive evaluation.Based on the previous two chapters,calculate the weights of the evaluation indicators,establish the fuzzy comprehensive evaluation membership matrix,and finally establish a fuzzy comprehensive evaluation model.Then quantify the tourist destination image,analyze the evaluation results,thereby make further suggestions.This article selects Nanjing Confucian Temple Area as the object of empirical analysis.Based on the sentiment analysis of its comments,it makes a fuzzy comprehensive evaluation of the tourist destination image,and proposes corresponding rectification opinions for the deficiencies.