International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 105

Research Paper | Computer Science & Engineering | India | Volume 3 Issue 12, December 2014


A Comparative Study on Text mining Techniques

Peerzada Hamid Ahmad [2] | Dr. Shilpa Dang [2]


Abstract: This research is intended to give detailed overview of basic concept of two text mining techniques namely information retrieval and information extraction. This paper has provided a comparison table of both these techniques on the basis of characteristic and their relationship to each other. We have also underlined many interesting research challenges which will benefit in managing the extracted valuable information. Later this research has also been motivated to highlight the main role of information extraction in terms of retrieval context in future to be played.


Keywords: Information retrieval, Information extraction, Text mining


Edition: Volume 3 Issue 12, December 2014,


Pages: 2222 - 2226


How to Download this Article?

You Need to Register Your Email Address Before You Can Download the Article PDF


How to Cite this Article?

Peerzada Hamid Ahmad, Dr. Shilpa Dang, "A Comparative Study on Text mining Techniques", International Journal of Science and Research (IJSR), Volume 3 Issue 12, December 2014, pp. 2222-2226, https://www.ijsr.net/get_abstract.php?paper_id=SUB14865

Similar Articles with Keyword 'Information retrieval'

Downloads: 1 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1

Research Paper, Computer Science & Engineering, India, Volume 11 Issue 4, April 2022

Pages: 1155 - 1159

Application of Elman Back Propagation Neural Network for Automatic Identification of Tabla Strokes in North Indian Classical Music

Shambhavi Shete | Saurabh Deshmukh [2]

Share this Article

Downloads: 100

Review Papers, Computer Science & Engineering, India, Volume 4 Issue 2, February 2015

Pages: 2461 - 2466

A Review of Text Mining Techniques Associated with Various Application Areas

Dr. Shilpa Dang [2] | Peerzada Hamid Ahmad [2]

Share this Article
Top