Effective idea mining technique based on modeling lexical semantic

Mostafa Alksher, Azreen Azman, Razali Yaakob, Eissa M. Alshari, Abdul Kadir Rabiah, Abdulmajid Mohamed

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Automatic extraction of hidden ideas from texts is extremely important that would help decision makers to identify and retrieve significant information, which possibly used to solve current problems. However, adequate measurements need to be utilized to verify candidate ideas. In existing idea mining measurement research, a well-balanced measurement is used to measure the distribution of the number of known and unknown terms from the idea text and the context text to find useful ideas within a text pattern. The existing models do not take into consideration the relationships between these terms which may share one or more semantic component. This leads to a limited characterization of potential ideas. Therefore, this paper proposes an improvement to the idea mining model by considering the semantic relationships among terms based on synonyms by using the WordNet. The effectiveness of the proposed model is evaluated on a dataset consisting of 50 randomly selected abstracts of scientific articles. Based on the results, the proposed model showed an improvement in the performance of the idea mining model where an increase of 28.4% is achieved.

Original languageEnglish
Pages (from-to)5350-5362
Number of pages13
JournalJournal of Theoretical and Applied Information Technology
Volume96
Issue number16
Publication statusPublished - 31 Aug 2018

Fingerprint

Mining
Semantics
Modeling
Term
WordNet
Model
Verify
Unknown
Text
Relationships

Keywords

  • Idea mining
  • Information retrieval
  • Text mining
  • Text pattern
  • Wordnet

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Alksher, M., Azman, A., Yaakob, R., Alshari, E. M., Rabiah, A. K., & Mohamed, A. (2018). Effective idea mining technique based on modeling lexical semantic. Journal of Theoretical and Applied Information Technology, 96(16), 5350-5362.

Effective idea mining technique based on modeling lexical semantic. / Alksher, Mostafa; Azman, Azreen; Yaakob, Razali; Alshari, Eissa M.; Rabiah, Abdul Kadir; Mohamed, Abdulmajid.

In: Journal of Theoretical and Applied Information Technology, Vol. 96, No. 16, 31.08.2018, p. 5350-5362.

Research output: Contribution to journalArticle

Alksher, M, Azman, A, Yaakob, R, Alshari, EM, Rabiah, AK & Mohamed, A 2018, 'Effective idea mining technique based on modeling lexical semantic', Journal of Theoretical and Applied Information Technology, vol. 96, no. 16, pp. 5350-5362.
Alksher, Mostafa ; Azman, Azreen ; Yaakob, Razali ; Alshari, Eissa M. ; Rabiah, Abdul Kadir ; Mohamed, Abdulmajid. / Effective idea mining technique based on modeling lexical semantic. In: Journal of Theoretical and Applied Information Technology. 2018 ; Vol. 96, No. 16. pp. 5350-5362.
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