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Semantic Space Models for Profiling Reputation of Corporate Entities
KTH, School of Computer Science and Communication (CSC), Theoretical Computer Science, TCS.ORCID iD: 0000-0003-4042-4919
2013 (English)In: CLEF 2013 Evaluation Labs and Workshop: Online Working Notes, CLEF , 2013Conference paper, Published paper (Refereed)
Abstract [en]

Gavagai used its commercially available system for the filtering and po-larity tasks in the evaluation campaign for online reputation management systemsat CLEF 2013. The system is built for large scale analysis of streaming text and aspart of the services Gavagai provides, it measures the public attitude visavi targetsof interest. This mechanism — with no adjustment for this specific task — wasused for polarisation and the experiments performed this year was to test a numberof settings for testing how an attitude might be learned from the data rather thangiven by editorial intervention.

Place, publisher, year, edition, pages
CLEF , 2013.
Keyword [en]
Language Technology, Semantic Space Models
National Category
Language Technology (Computational Linguistics)
Identifiers
URN: urn:nbn:se:kth:diva-129029OAI: oai:DiVA.org:kth-129029DiVA: diva2:649247
Conference
CLEF 2013 Conference and Labs of the Evaluation Forum Information Access Evaluation meets Multilinguality, Multimodality, and Visualization, Valencia, Spain, 23 - 26 September 2013
Note

QC 20140624

Available from: 2013-09-17 Created: 2013-09-17 Last updated: 2014-06-24Bibliographically approved

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fulltext(108 kB)169 downloads
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Karlgren, Jussi

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • harvard1
  • 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
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