| Summary: | 碩士 === 國立清華大學 === 工業工程與工程管理學系所 === 105 === To know the trend of a specific news related to school, 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 a specific school news. Second, staff need to waste a lot of time reading and juding 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. As for collecting comment characteristics stage, it can collect the six characteristics of each comment. As for judging comment topics stage, it can compare the relationship among all the comments. As for judging the topic of each comment stage, it can categorize each comment into its topic. As for analyzing comment trend stage, it can show the graph of comment topics. This methodology we proposed can assist user to get the trend of a specific news related to school fastly and accurately.
In the future, we hope the methodology and system we proposed can help staff can use the methodology and the related system to analyze the trend of a specific news, know the trend of a specifc news by the multiple graph related to the topics, make a quick decision in reponse to the specific news related to school.
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