• DocumentCode
    637362
  • Title

    Automatic keyphrase extraction techniques: A review

  • Author

    Lim, Vicky Min-How ; Siew Fan Wong ; Tong Ming Lim

  • Author_Institution
    Sci. & Technol., Sunway Univ., Subang, Malaysia
  • fYear
    2013
  • fDate
    7-9 April 2013
  • Firstpage
    196
  • Lastpage
    200
  • Abstract
    Keyphrases are useful in organizing an overwhelming number of resources while providing ease of access for information retrieval. However, manually assigning keyphrases to a document is very expensive in terms of both human resources and time consumption. Therefore, there is a need for automatic keyphrase extraction. While techniques for automatic keyphrase extraction have been researched for a number of years, the accuracy rate remains low. This paper reviews existing automatic keyphrase extraction techniques with the goal of understanding their strengths and weaknesses. In future improvement of automatic keyphrase extraction technique, these identified strengths should be preserved while the weaknesses should be addressed so that a higher accuracy rate can be achieved. The results show that two important sub-processes should be the focus for further research. The paper also proposes a future study to address this issue.
  • Keywords
    information retrieval; automatic keyphrase extraction techniques; information retrieval; Accuracy; Computers; Context; Data mining; Filtration; Supervised learning; Training; Attribute Score; Automatic Keyphrase Extraction; Information Retrieval; Keyphrase Extraction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers & Informatics (ISCI), 2013 IEEE Symposium on
  • Conference_Location
    Langkawi
  • Print_ISBN
    978-1-4799-0209-5
  • Type

    conf

  • DOI
    10.1109/ISCI.2013.6612402
  • Filename
    6612402