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Feasibility of using the position as feature for idea identification from text


Citation

Alksher, Mostafa Ahmed and Azman, Azreen and Yaakob, Razali and Abdul Kadir, Rabiah and Ali, Abdulmajid Hissen Mohamed and Alshari, Eissa Mohammed Mohsen (2018) Feasibility of using the position as feature for idea identification from text. In: 2018 Fourth International Conference on Information Retrieval and Knowledge Management (CAMP'18), 26-28 Mar. 2018, Le Méridien Kota Kinabalu,Sabah, Malaysia. (pp. 164-169).

Abstract / Synopsis

Abstracts of research papers are meant to provide a brief condensed overview of respective research topics. This includes a glimpse of the new idea that the paper proposes. The aim of the research presented here is to investigate the feasibility of the effect of text position in the idea identification. The abstracts are structured in the form of introduction, body, and conclusion. It is hypothesized that research ideas tend to be phrased in conclusion section of paper abstracts. 25 abstracts of the scientific papers were used to automatically identify the position of ideas within abstract sections. The results support the notion that the conclusion of the abstracts significantly represents the ideas.


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Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Computer Science and Information Technology
DOI Number: https://doi.org/10.1109/INFRKM.2018.8464819
Publisher: IEEE
Keywords: Text extraction; Text pattern; Text position; Idea identification; Information retrieval
Depositing User: Nabilah Mustapa
Date Deposited: 12 Jun 2019 10:08
Last Modified: 12 Jun 2019 10:08
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/INFRKM.2018.8464819
URI: http://psasir.upm.edu.my/id/eprint/68950
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