Text Mining and Visualization Techniques - A Survey

dc.category	Conference Proceedings
dc.contributor.author	Elizabeth Shanthi, I
dc.date.accessioned	2017-03-30T19:21:08Z
dc.date.available	2017-03-30T19:21:08Z
dc.date.issued	2015
dc.department	Computer Science	en_US
dc.description.abstract	Data mining is the process of extracting hidden patterns from structured data. Text mining is an ongoing trend and has a wide range of applications where a huge volume of data is considered. The growing amount of data has lead to the concept of Big data. Data management is important in all fields for understanding the past, experimenting the present and for predicting the future. Text is the major component of all data and is generated everywhere and Knowledge Discovery is an interesting phenomenon. Text mining has a variety of applications and the techniques applied also vary with respect to them. Text mining algorithms play a vital role in providing a structured framework. Recent text visualization tools and techniques are to be reviewed in this paper. This paper analyses various state of the art algorithm tools and techniques for text mining and text visualization along with the commonly used dataset and their applications in various fields.	en_US
dc.identifier.uri	https://ir.avinuty.ac.in/handle/avu/2383
dc.lang	English	en_US
dc.publisher.name	National Seminar on Big Data And Opportunities	en_US
dc.publisher.type	National	en_US
dc.title	Text Mining and Visualization Techniques - A Survey	en_US

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