Review on Text Mining

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2017 by IJCTT Journal
Volume-50 Number-3
Year of Publication : 2017
Authors : Aarushi Rai, Aarush Gupta, Jabanjalin Hilda J.
  10.14445/22312803/IJCTT-V50P129

MLA

Aarushi Rai, Aarush Gupta, Jabanjalin Hilda J. "Review on Text Mining". International Journal of Computer Trends and Technology (IJCTT) V50(3):159-163, August 2017. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
Text data mining is the process of deriving high quality information from text, it is a relatively novel area of computer science and the use of it has grown as the unstructured data available continues to increase exponentially. In the present day there has been a surge in the amount of textual information available on the internet. Text mining has applications in several areas such as customer care service, fraud detection, contextual advertisement, healthcare etc.

References
1. A Comparison Of Document Clustering Techniques: Michael Steinback, George Karypis and Vipin Kumar
2. A tutorial review on Text Mining Algorithms: Mrs. Sayantani Ghosh, Mr. Sudipta Roy and Prof. Samir K. Bandyopadhyay
3. A Survey of Text Mining Techniques and Applications: Vishal Gupta and Gurpreet S. Lehal
4. Text Categorization with Support Vector Machines: Learning with Many Relevant Features, LS-8 Report 23, Thorsten Joachims
5. A review on various text mining techniques and algorithms: R.Balamurugan, Dr. S.Pushpa
6. Text Mining Process, Techniques and Tools: an Overview, Vidhya. K.A , G.Aghila
7. Text Mining: The state of the art and the challenges
8. https://www.experfy.com/blog/k-means-clustering-in-text-data
9. https://web.stanford.edu/class/cs124/lec/naivebayes.pdf
10. https://www.slideshare.net/treparel/support-vector-machines-svm-text-analytics-algorithm-introduction-2012

Keywords
data, text mining, classification, clustering.