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| A Survey on Idea Mining: Techniques and Application |
Nicholaus J. Gati, Lusekelo Kibona
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Abstract:
Idea mining is an interesting field in the area of information retrieval and it is increasingly becoming important asset for decision makers. Huge volumes of high quality data from various sources such as scanners, mobile phones, loyalty cards, the web, and social media platforms presents enormous opportunity for organization to achieve success in their businesses. It is possible to achieve this by properly analysing data to reveal feature patterns; hence decision makers can capitalize upon the resulting ideas from wealth of information available. Idea mining helps managers to use their time efficiently by grasping ideas from a huge amount of unstructured data with text mining, instead of reading through page by page, it also helps to avoid the danger of overlooking data with useful ideas. The main objective of this survey article is to provide assessment on a number of successful text mining and text classification tools combined with idea mining measures to extract the idea from texts.
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