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Design and Implementation of On-Line Hot Topic Discovery Model
作者姓名:YE  Hui-min  CHENG  Wei  DAI  Guan-zhong
作者单位:[1]School of Automatic Control, Northwestern Polyteehnieal University, Xi'an 710072, Shaanxi, China [2]Institute of Artificial Intelligence, Beijing City University, Beijing 100083, China
摘    要:0 IntroductionStoemrees tto opviecrs tiin m nee hwasv eon g rIenatte rin metp atchta to nar ree aglr osowciinegtyi.n iWne-alsofindthat messages or topics on BBSalso haveinfluence onour real life in some way. But picking out these influencingnews and topics on the web manually should be a dauntingtask and also unreliable. Henceit would be helpful if there isanintelligent systemthat canautomatically andeffectively dis-cover hot topics embedded on the web within a period,sayweekly.Most of today…

关 键 词:互联网  信息传输  热门话题  Web  话题追踪  话题索引
文章编号:1007-1202(2006)01-0021-06
收稿时间:2005-04-20

Design and implementation of on-line hot topic discovery model
YE Hui-min CHENG Wei DAI Guan-zhong.Design and Implementation of On-Line Hot Topic Discovery Model[J].Wuhan University Journal of Natural Sciences,2006,11(1):21-26.
Authors:Ye Hui-min  Cheng Wei  Dai Guan-zhong
Institution:(1) School of Automatic Control, Northwestern Polytechnical University, 710072 Xi'an, Shaanxi, China;(2) Institute of Artificial Intelligence, Beijing, City University, 100083 Beijing, China
Abstract:Internet has become a major medium for infomation transmission, how to detect hot topic on web, track the event development and forecast emergency is important to many fields, particularly to some government departments. On the basis of the researches in the field of topic detection and tracking, we propose a model for hot topic discovery that will pick out hot topics by automatically detecting, clustering and weighting topics on the websites within a time period. Based on the idea of stock index, we also introduce a topic index approach in following the growth of topics, which is useful to analyze and forecast the development of topics on web.
Keywords:topic tracking  stock index  hot topic  topic weight
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