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: 106

Survey Paper | Computer Science & Engineering | India | Volume 5 Issue 5, May 2016


A Survey on Feature Selection Techniques and Classification Algorithms for Efficient Text Classification

Pradnya Kumbhar | Manisha Mali [2]


Abstract: The rapid growth of World Wide Web has led to explosive growth of information. As most of information is stored in the form of texts, text mining has gained paramount importance. With the high availability of information from diverse sources, the task of automatic categorization of documents has become a vital method for managing, organizing vast amount of information and knowledge discovery. Text classification is the task of assigning predefined categories to documents. The major challenge of text classification is accuracy of classifier and high dimensionality of feature space. These problems can be overcome using Feature Selection. Feature selection is a process of identifying a subset of the most useful features from the original entire set of features. Feature selection (FS) is a strategy that aims at making text document classifiers more efficient and accurate. Feature selection methods provide us a way of reducing computation time, improving prediction performance, and a better understanding of the data. This paper surveys of text classification, several approaches of text classification, feature selection methods and applications of text classifications.


Keywords: Feature Selection, Feature selection methods, Text Classification, Text Classification Algorithms, Text Mining


Edition: Volume 5 Issue 5, May 2016,


Pages: 1267 - 1275


How to Download this Article?

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


How to Cite this Article?

Pradnya Kumbhar, Manisha Mali, "A Survey on Feature Selection Techniques and Classification Algorithms for Efficient Text Classification", International Journal of Science and Research (IJSR), Volume 5 Issue 5, May 2016, pp. 1267-1275, https://www.ijsr.net/get_abstract.php?paper_id=NOV163675

Similar Articles with Keyword 'Feature Selection'

Downloads: 1

Research Paper, Computer Science & Engineering, India, Volume 11 Issue 5, May 2022

Pages: 1480 - 1485

Feature Selection for Handwriting Digit Recognition Using Convolutional Neural Network

Tarun Patel | Shivansh Tiwari | Vaibhav Dubey | Vaibhav Singh | Dr. Harvendra Kumar

Share this Article

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

Masters Thesis, Computer Science & Engineering, India, Volume 11 Issue 7, July 2022

Pages: 1502 - 1505

Model of Decision Tree for Email Classification

Nallamothu Naveen Kumar

Share this Article
Top