• DocumentCode
    2922095
  • Title

    Topic Detection and Tracking interface with named entities approach

  • Author

    Bashaddadh, Omar Mabrook A ; Mohd, Masnizah

  • Author_Institution
    Knowledge Technol. Res. Group, Univ. Kebangsaan Malaysia, Bangi, Malaysia
  • fYear
    2011
  • fDate
    28-29 June 2011
  • Firstpage
    215
  • Lastpage
    219
  • Abstract
    Topic Detection and Tracking (TDT) refer to the technologies and techniques in analysing and handling the vast amount of information arriving continuously from the news stream. Some issues in news monitoring regarding interface design are considered. In this paper we present the techniques and works done in TDT domain. We discuss the named entities approach used in document representation and in user interface. Finally, we present the suggested approach to improve users´ performance and to facilitate them to perform an effective TDT task.
  • Keywords
    data structures; document handling; information resources; tracking; user interfaces; TDT domain; document representation; named entitie approach; news monitoring; topic detection; tracking interface; user interface; Accidents; Data mining; Information retrieval; Nominations and elections; Research and development; User interfaces; Visualization; Bag of Words; Interface; Named Entity; Topic Detection and Tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semantic Technology and Information Retrieval (STAIR), 2011 International Conference on
  • Conference_Location
    Putrajaya
  • Print_ISBN
    978-1-61284-354-4
  • Electronic_ISBN
    978-1-61284-353-7
  • Type

    conf

  • DOI
    10.1109/STAIR.2011.5995791
  • Filename
    5995791