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Buzz monitoring in word space
RISE, Swedish ICT, SICS. Attityd.
RISE, Swedish ICT, SICS. Attityd.ORCID iD: 0000-0003-4042-4919
Number of Authors: 2
2008 (English)Conference paper, Published paper (Refereed)
Abstract [en]

This paper discusses the task of tracking mentions of some topically interesting textual entity from a continuously and dynamically changing flow of text, such as a news feed, the output from an Internet crawler or a similar text source - a task sometimes referred to as buzz monitoring. Standard approaches from the field of information access for identifying salient textual entities are reviewed, and it is argued that the dynamics of buzz monitoring calls for more accomplished analysis mechanisms than the typical text analysis tools provide today. The notion of word space is introduced, and it is argued that word spaces can be used to select the most salient markers for topicality, find associations those observations engender, and that they constitute an attractive foundation for building a representation well suited for the tracking and monitoring of mentions of the entity under consideration.

Place, publisher, year, edition, pages
2008, 1.
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:ri:diva-22912OAI: oai:DiVA.org:ri-22912DiVA: diva2:1042477
Conference
European Conference on Intelligence and Security Informatics (EuroISI 2008), 3-5 December 2008, Esbjerg, Denmark
Projects
Attityd
Available from: 2016-10-31 Created: 2016-10-31 Last updated: 2017-01-02Bibliographically approved

Open Access in DiVA

fulltext(182 kB)9 downloads
File information
File name FULLTEXT01.pdfFile size 182 kBChecksum SHA-512
269212d2e90b8f9edd8a3cb6667e6e6126bbfcea61554174510c09ff318ee434ffc20f9578a3e3a8e3bfa14b44b9733daad49ad60c0ed596fba0ac1d9c1c7980
Type fulltextMimetype application/pdf

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Karlgren, Jussi
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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf