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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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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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?
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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 |
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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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