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Text mining: Challenges and future directions - 2016

Text mining: Challenges and future directions

Research paper on Text mining: Challenges and future directions

Research Area:  Data Mining

Abstract:

In today-s world, the amount of stored information has been enormously increasing day by day which is generally in the unstructured form and cannot be used for any processing to extract useful information, so several techniques such as summarization, classification, clustering, information extraction and visualization are available for the same which comes under the category of text mining. Text Mining can be defined as a technique which is used to extract interesting information or knowledge from the text documents. Text mining, also known as text data mining or knowledge discovery from textual databases, refers to the process of extracting interesting and non-trivial patterns or knowledge from text documents. Regarded by many as the next wave of knowledge discovery, text mining has very high commercial values.

Keywords:  
Text mining
data mining
knowledge discovery

Author(s) Name:  A. Akilan

Journal name:  

Conferrence name:  2015 2nd International Conference on Electronics and Communication Systems (ICECS)

Publisher name:  IEEE

DOI:  10.1109/ECS.2015.7124872

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