Techniques on text mining

Proceedings of 2012 IEEE International Conference on Advanced Communication Control and Computing Technologies, ICACCCT 2012

Volumn , Issue , 2012, Pages 269-271

  Sukanya, M ^a   Biruntha, S ^a  

^a SNS COLLEGE OF TECHNOLOGY   (India)

Author keywords

benefits and limitations; classification; clustering; information extraction; Text mining framework; visualization

Indexed keywords

BENEFITS AND LIMITATIONS; CLUSTERING; DATA MINING TECHNIQUES; INFORMATION EXTRACTION; STRUCTURED DATABASE; TEXT DATA MINING; TEXT DOCUMENT; TEXT MINING; TEXTUAL DATABASE;

CLASSIFICATION (OF INFORMATION); COMMUNICATION; FLOW VISUALIZATION; INFORMATION RETRIEVAL; INFORMATION RETRIEVAL SYSTEMS; TEXT PROCESSING; VISUALIZATION;

DATA MINING;

EID: 84869459504     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICACCCT.2012.6320784     Document Type: Conference Paper

References (5)

1. Divya Nasa "Text Mining Techniques- A Survey" International Journal of Advanced Research in Computer Science and Software Engineering, Volume 2, Issue 4, April 2012.
2. Mahesh T R, Suresh M B, M Vinayababu "Text Mining: Advancements, Challenges and Future Directions" International Journal of Reviews in Computing 2009-2010 RIC& LLS.
3. Vishal Gupta, Gurpreet S. Lehal "A Survey of Text Mining Techniques and Applications" Journal of Emerging Technologies in Web Intelligence, vol. 1, no. 1, august 2009.
4. E. Morse - Document Visualization∥.
5. Berry Michael W., (2004), "Automatic Discovery of Similar Words", in "Survey of Text Mining: Clustering, Classification and Retrieval", Springer Verlag, New York, LLC,24-43.