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A Comparative Study of Key Phrase Extraction for Cross-Domain Document Collections

  • Supaporn Tantanasiriwong
  • Choochart Haruechaiyasak
  • Sumanta Guha
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8839)

Abstract

An extraction tool, nowadays, has become useful for text mining researchers to find keywords and keyphrases from the documents. Performing keywords and keyphrases extraction for cross-domain information are more challenging since both domains of interest are different in word usage. In this paper, two popular keyphrases extraction tools, Maui and Carrot, are investigated, for extracting terms from cross-domain document databases. The characteristic of keywords or phrases matching among different domain collections is presented and used for determining the keyphrase extraction tool for patent documents and scientific publications. In our experiment, matching between a patent and its cited publication are the key point. For evaluation, the performance of cross-domain matching is measured by comparing the similarity measure among those extraction tool results. The experimental results show that Maui tool proves to be the appropriate keyphrases extraction tool with its best performance measured by Cosine similarity of 3.31% when compared with Carrot tool for cross-domain document collections matching.

Keywords

Keyphrase extraction tools Cross-domain document collection Patent Publication Similarity measures Maui Carrot 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Supaporn Tantanasiriwong
    • 1
  • Choochart Haruechaiyasak
    • 2
  • Sumanta Guha
    • 1
  1. 1.Computer Science and Information Management, School of Engineering and TechnologyAsian Institute of TechnologyThailand
  2. 2.Speech and Audio Technology Laboratory,National Electronics and Computer Technology CenterNational Science and Technology Development AgencyThailand

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