Exploring independent trends in a topic-based search engine

Jukka Perkiö, Wray Buntine, Sami Perttu

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

18 Citations (Scopus)

Abstract

Topic-based search engines are an alternative to simple keyword search engines that are common in today's intranets. The temporal behaviour of the topics in a topic model based search engine can be used for trend analysis, which is an important research goal on its own. We apply topic modelling to an online financial newspaper data and show that some of the trends in the topics are consistent with common understanding.

Original languageEnglish
Title of host publicationProceedings - IEEE/WIC/ACM International Conference on Web Intelligence, WI 2004
Subtitle of host publicationBeijing; China; 20 September 2004 through 24 September 2004
EditorsN. Zhong, H. Tirri, Y. Yao, L. Zhou
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages664-668
Number of pages5
ISBN (Print)0769521002
Publication statusPublished - 2004
Externally publishedYes
EventProceedings - IEEE/WIC/ACM International Conference on Web Intelligence, WI 2004 - Beijing, China
Duration: 20 Sep 200424 Sep 2004

Conference

ConferenceProceedings - IEEE/WIC/ACM International Conference on Web Intelligence, WI 2004
Country/TerritoryChina
CityBeijing
Period20/09/0424/09/04

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