Research And Implementation Of Emotion Regulation Method Based On Smart Home

With the rapidly development of computer technology and the popularity of the internet,Interpersonal communication has gotten rid of limits of time and space.Compared to traditional communication,people much prefer taking advantage of online social networks to share their lives or express their own opinions.Due to increasingly demand,a majority of social applications have been invented,including sina weibo.It has become the most popular social media among users,which relys on abundant information coverage,fast data transmission speed and efficient participation.In daily life,users share their life through weibo.In addition,they are willing to express their points of view when they receive something different.Therefore,the data of weibo is emotional in significant extent.According to the analysis of such data,developers can grasp users' emotional states and interest points.It has significant value in analyzing public opinion orientation,government decisionmaking or business field.This thesis mainly researches the design which is a complete emotional recognition scheme on weibo.The scheme can accomplish analysis with reference to emotional data on weibo.Emotion dictionary matching is the chief way.The design scheme of emotion recognition,which is the core of this thesis,is approximately divided into data collection,text processing and emotion recognition.Firstly,the thesis introduces the current popular data collection methods,then compares their advantages and disadvantages.Based on the characteristics of weibo,web crawler is selected as the data collection method.Afterwards,the thesis designs the text preprocessing and Chinese word segmentation scheme by means of the analysis of weibo's data.Except this,the thesis also analyzes the shortcomings when the traditional emotion dictionary is applied to emotion recognition of weibo.Then the thesis proposes the method of weibo emotion recognition,which based on constructing a comprehensive emotion dictionary.This method also contains uses of the Internet neologism dictionary,microblog expression dictionary and microblog emotion dictionary.Beyond these,this method exploits the traditional dictionary of emotion.The construction of the Internet dictionary,expression dictionary and domain dictionary is introduced in detail.The next step is to analyze the sentence patterns and collocation of Chinese words.According to the analysis,the thesis will design a set of rules for calculating emotional value.Then the emotion recognition scheme is designed and implemented systematically.Finally,the system operation results are presented.Meanwhile,the comparative experiment is carried out in order to verify that the proposed text recognition method is more accurate than the traditional text recognition method in the field of weibo emotion recognition.