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A review of methods for mining idea from text

Alksher, Mostafa Ahmed and Azman, Azreen and Yaakob, Razali and Abdul Kadir, Rabiah and Ali, Abdulmajid Hissen Mohamed and Alshari, Eissa Mohammed Mohsen (2016) A review of methods for mining idea from text. In: 2016 Third International Conference on Information Retrieval and Knowledge Management (CAMP'16), 23-24 Aug. 2016, Hatten Hotel Melaka, Malaysia. pp. 88-93.

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Abstract

Idea mining is a new and interesting field in the areas of information retrieval research. The thoughts of people are helpful to improve strategic decision making. This paper demonstrates the efficient computational methods of idea characterization based concept by extracting the interesting hidden data from unstructured texts which come in many forms and sizes. It may be stored in patents, publications, reports, documents, Internet etc. We briefly discussed a number of successful text mining tools and text classification to extract the idea with a combination of idea mining measures.

Item Type:Conference or Workshop Item (Paper)
Keyword:Idea mining; Information retrieval; Text classification; Text mining
Faculty or Institute:Faculty of Computer Science and Information Technology
Publisher:IEEE
DOI Number:10.1109/INFRKM.2016.7806341
Altmetrics:http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/INFRKM.2016.7806341
ID Code:56364
Deposited By: Nabilah Mustapa
Deposited On:31 Jul 2017 17:09
Last Modified:31 Jul 2017 17:09

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