Research on Mood Detection of Internet News Articles

碩士 === 國立交通大學 === 資訊管理研究所 === 97 === There's millions and thousands news coming out everyday. Only limited number of these news are relevant to a particular person. In the digital era, Internet has surpassed traditional media and become one of the most attractive media. How do we effective and...

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Main Authors: Lin, Yang-Shu, 林揚書
Other Authors: Ke, Hao-Ren
Format: Others
Language:zh-TW
Online Access:http://ndltd.ncl.edu.tw/handle/53121186373018487932
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spelling ndltd-TW-097NCTU53960762015-10-13T15:42:33Z http://ndltd.ncl.edu.tw/handle/53121186373018487932 Research on Mood Detection of Internet News Articles 網際網路新聞文章心情偵測之研究 Lin, Yang-Shu 林揚書 碩士 國立交通大學 資訊管理研究所 97 There's millions and thousands news coming out everyday. Only limited number of these news are relevant to a particular person. In the digital era, Internet has surpassed traditional media and become one of the most attractive media. How do we effective and efficiently filter through the huge amount of information on the Internet for finding those pieces of information which we need, like or we don't need to read? There's millions and thousands news coming out everyday. Only limited number of these news are relevant to a particular person. In the digital era, Internet has surpassed traditional media and become one of the most attractive media. How do we effective and efficiently filter through the huge amount of information on the Internet for finding those pieces of information which we need, like or we don't need to read? Ke, Hao-Ren Lin, Miao-Tsong 柯皓仁 林妙聰 學位論文 ; thesis 73 zh-TW
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language zh-TW
format Others
sources NDLTD
description 碩士 === 國立交通大學 === 資訊管理研究所 === 97 === There's millions and thousands news coming out everyday. Only limited number of these news are relevant to a particular person. In the digital era, Internet has surpassed traditional media and become one of the most attractive media. How do we effective and efficiently filter through the huge amount of information on the Internet for finding those pieces of information which we need, like or we don't need to read? There's millions and thousands news coming out everyday. Only limited number of these news are relevant to a particular person. In the digital era, Internet has surpassed traditional media and become one of the most attractive media. How do we effective and efficiently filter through the huge amount of information on the Internet for finding those pieces of information which we need, like or we don't need to read?
author2 Ke, Hao-Ren
author_facet Ke, Hao-Ren
Lin, Yang-Shu
林揚書
author Lin, Yang-Shu
林揚書
spellingShingle Lin, Yang-Shu
林揚書
Research on Mood Detection of Internet News Articles
author_sort Lin, Yang-Shu
title Research on Mood Detection of Internet News Articles
title_short Research on Mood Detection of Internet News Articles
title_full Research on Mood Detection of Internet News Articles
title_fullStr Research on Mood Detection of Internet News Articles
title_full_unstemmed Research on Mood Detection of Internet News Articles
title_sort research on mood detection of internet news articles
url http://ndltd.ncl.edu.tw/handle/53121186373018487932
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