Research On The Emotional And Temporal And Spatial Change Of Tourists Based On Microblogging Data

Under the impact of "big data", the traditional research about tourist behavior was got broken, new research can been described and analyzed on a large scale through vast amount of online data. As the emotion research heating up in the field of computer and information intelligence, emotion research has caught the attention of the scholars in tourism field. As an excellent platform for big data mining, microblog can provide a rich source of data to the research of tourist emotion. Tourists often express their emotion and ideas during their journey with the aid of microblog and other social media on the Internet. The contents in the form of words, images or video have all been preserved, and gradually accumulated into a large amount of data. The emotion analysis techniques proposed and continuous improved in recent years provide a good technical support to the emotion research, and make it possible to finish emotional computing and data processing of large quantities of text. Then, tourist emotion can be studied by qualitative or quantitative analysis of these data inspired by big data. Supported by the National Natural Science Foundation of China and the National Bureau of Tourism, this paper innovatively treat tourist emotion as the research object, based on spatio-temporal thinking clues, under the support of big data, combined with online and offline study, systematically and comprehensively explored the spatio-temporal variation law of tourist emotion. At the same time, through artificial selection, assignment and experiment, the author completed the emotional dictionary updata, and built the tourist emotion analysis model based on microblog big data, striving to enrich the content of tourism research, and providing reference for subsequent tourist emotion research.Firstly, author compared the existing software of microblog emotion analysis, and finally chose MBEWC software as the processing tools. Considering the truth that tourists release microblog, growing new network language poses challenges to the accuracy of the software. In order to get better quantitative calculation result of tourists emotion, the emotion dictionary was updated which is already available in the software, and the updated dictionary was compared and verified, so that to build the tourist emotion analysis model, providing a certain reference to the subsequent tourist emotion research. After getting the emotional value of each post calculated by the updated emotion analysis software, visually process and describe the spatio-temporal variation laws of tourist emotion in temporal, spatial and spatio-temporal three angles, with the aid of Excel and ArcGIS software. Finally, through a combination of online and offline data, the influence factors of tourists emotion were concluded, and data processing method of this research and some of the conclusions were verified. Main conclusions as follow:(1) A tourist emotion analysis model based on microblog big data was built after the process of updating the emotional dictionary in the microblog emotion analysis software. It can provide certain reference to the subsequent emotion related research.(2) The tourist emotion varies according to the classification standard of time, different rules are showed, daily fluctuation is the most volatile, and weekly fluctuation changes a little. In different time scale, the correlation between emotion average and microblog numbers is different, and so are the influence factors of tourist emotional variation.(3) The spatial distribution laws of tourist emotion are that the gathering place in conformity with the key tourism development area of Xi’an, emotion of different types and different levels show the generally similar spatial distribution and change trend, and positive emotion has always been the dominant in the same space.(4) The spatio-temporal variation laws of tourist emotion are showed as:the hourly variation of tourist emotion has different characteristics, the seasonal variation is in conformity with the standard of Xi’an tourist season, and the variation in holidays is in conformity with the characteristics of the holidays.(5) The factors that affect tourist emotional variation include food, interpersonal relationship, environment, weather, traffic and so on. The various influence factors contribute to the distribution and variation difference of tourist emotion. Tourists’ different belonging has a certain relationship with their emotional experience effect, and the belonging can be divided into four types according to the relationship between size of the microblog number and the emotion average. The combination of online and offline data can provide good verification result for the research on big data, including data reliability and conclusions accuracy.