Trend Analysis for Online Comments

Abstract

To know the trend of a specific news related to school, the staff firstly tend to search for the comments related to the news, then read and analyze all the comments to find the characteristics of comments related to educational news. Secondly, they will review all the comments to shape the topics and categorized all the comments into the above topics. However, there are two problems exists currently. First of all, current social media platform cannot automatically analyze the trend of comments related to specific school news. Second, staff needs to waste a lot of time reading and judging the topics of comments related to a specific news so as to get the trend of a specific school news. To solve the above problem, we proposed a preparation stage to figure out the characteristics of comments related to educational news, the principles of generating topics related to comments and the principles of judging the topics of comments. After that, we proposed a Trend Analysis of Comment Topics Methodology, it includes four stages, which are collecting comment characteristics, judging comment topics, judging the topic of each comment, analyzing comment trend. This methodology we proposed can assist user to get the trend of specific news related to school efficiently and accurately.