Simple Search:

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).

Abstract / Synopsis

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.

Download File

PDF (Abstract)
A review of methods for mining idea from text.pdf

Download (33kB) | Preview

Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Computer Science and Information Technology
DOI Number:
Publisher: IEEE
Keywords: Idea mining; Information retrieval; Text classification; Text mining
Depositing User: Nabilah Mustapa
Date Deposited: 31 Jul 2017 17:09
Last Modified: 31 Jul 2017 17:09
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item