Trend Analysis for Comment Topics -A Case Study of Comments related to Educational News

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...

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Main Authors: Cheng, Yu-Pin., 鄭郁彬
Other Authors: Hou, Jiang-Liang
Format: Others
Language:zh-TW
Published: 2017
Online Access:http://ndltd.ncl.edu.tw/handle/jxzgsr
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spelling ndltd-TW-105NTHU50310442019-05-15T23:53:46Z http://ndltd.ncl.edu.tw/handle/jxzgsr Trend Analysis for Comment Topics -A Case Study of Comments related to Educational News 以留言內容為基礎之留言主題趨向分析模式—以文教事件新聞為例 Cheng, Yu-Pin. 鄭郁彬 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. Hou, Jiang-Liang 侯建良 2017 學位論文 ; thesis 349 zh-TW
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language zh-TW
format Others
sources NDLTD
description 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.
author2 Hou, Jiang-Liang
author_facet Hou, Jiang-Liang
Cheng, Yu-Pin.
鄭郁彬
author Cheng, Yu-Pin.
鄭郁彬
spellingShingle Cheng, Yu-Pin.
鄭郁彬
Trend Analysis for Comment Topics -A Case Study of Comments related to Educational News
author_sort Cheng, Yu-Pin.
title Trend Analysis for Comment Topics -A Case Study of Comments related to Educational News
title_short Trend Analysis for Comment Topics -A Case Study of Comments related to Educational News
title_full Trend Analysis for Comment Topics -A Case Study of Comments related to Educational News
title_fullStr Trend Analysis for Comment Topics -A Case Study of Comments related to Educational News
title_full_unstemmed Trend Analysis for Comment Topics -A Case Study of Comments related to Educational News
title_sort trend analysis for comment topics -a case study of comments related to educational news
publishDate 2017
url http://ndltd.ncl.edu.tw/handle/jxzgsr
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