The Text Mining and Classification Analyses of Tumor Based on Twitter

Abstract

ABSTRACT The study is combined with the text mining and classification method to analyze the tumor-related tweets on Twitter in order to comprehend the public opinion focus on the social media. The contribution of the study included the following two points. First, the study used the text mining method to explore the content of tumor-related tweets and found the keywords according to their frequencies. Second, the study applied the classification analysis with four different algorithms to explore the relationship and the importance of the keywords. The study also found the random forests model with the best performance in four models and concluded that the Twitter users focused more on surgery issues, psychological issues and the technical issues on the topic of tumor.