Using a mixed of clustering technology to cluster YouTube's text messages into meaningful topics
碩士 === 國立東華大學 === 資訊管理碩士學位學程 === 101 === In this paper, we propose a mixed clustering technique, which can analyze the returned web-snippet and the user’s comments from YouTube’s search results, to extract the meaningful piece information (called labels or topics) from the search results and cluster...
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| Format: | Others |
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2013
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| Online Access: | http://ndltd.ncl.edu.tw/handle/47377914610584175814 |
| Summary: | 碩士 === 國立東華大學 === 資訊管理碩士學位學程 === 101 === In this paper, we propose a mixed clustering technique, which can analyze the returned web-snippet and the user’s comments from YouTube’s search results, to extract the meaningful piece information (called labels or topics) from the search results and cluster the topics into a hierarchical tree. The hierarchical tree provides a complementary view of the search results. Users can customise this view by simply navigating the tree. This navigational approach is especially useful for informative, polysemous, and poor queries.
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