Research on the Effect of Information Transmission based on Text Mining

Abstract

Sangstan proposed that, in the process of information dissemination, people only focus on the information field that makes them feel comfortable due to the influence of the public's own information needs and interest guidance. As time passes, they will shackle themselves to the cocoon like "cocoon room", which Sangstan called "information cocoon room". As an emerging open social media, microblog provides users with the convenience of information sharing and dissemination, and also creates a personalized social space. Based on this, this paper conducts text mining on topics in microblog through text mining technology, aiming to study the propagation law of public opinion. For Task 1, this paper uses the crawler technology to access the microblog search end api interface, and the code uses the python request package, so that the access interface can be determined and the data can be crawled. After that, this paper uses the jieba library to carry out regular expression and Chinese word segmentation, and constructs a word cloud map for statistical analysis. Finally, it quantitatively describes the spread process of topics through the number of word frequencies, and analyzes its influencing factors. For Task 2, this paper considers this problem as a typical evaluation problem. Therefore, this paper constructs the AHP analytic hierarchy process model to solve it, and constructs the expert evaluation matrix to score and evaluate it, so as to get the influence of these factors.