Survey on Efficient Techniques of Text Mining


EOI: 10.11242/viva-tech.01.01.07

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Citation

Sunita Naik, Samiksha Gharat, Saraswati Shenoy, Rohini Kamble, "Survey on Efficient Techniques of Text Mining", VIVA-Tech IJRI Volume 1, Issue 1, Article 7, pp. 1-7, Oct 2018. Published by Computer Engineering Department, VIVA Institute of Technology, Virar, India.

Abstract

In the current era, with the advancement of technology, more and more data is available in digital form. Among which, most of the data (approx. 85%) is in unstructured textual form. So it has become essential to develop better techniques and algorithms to extract useful and interesting information from this large amount of textual data. Text mining is process of extracting useful data from unstructured text. The algorithm used for text mining has advantages and disadvantages. Moreover the issues in the field of text mining that affect the accuracy and relevance of the results are identified.

Keywords

MWO, Consensus, PSO, Text mining, Bisecting K-means.

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