Data Mining Techniques for Text Mining

Gagandeep Kaur  and Hardeep Singh

doi:10.17485/ijst/2016/v9i44/105075

Article

VIEWS 1631
PDF 253

Abstract
Full-Text HTML
Full-Text PDF
How to Cite

Indian Journal of Science and Technology

DOI: 10.17485/ijst/2016/v9i44/105075

Year: 2016, Volume: 9, Issue: 44, Pages: 1-4

Original Article

Data Mining Techniques for Text Mining

Gagandeep Kaur^* and Hardeep Singh

Department of Computer Science and Engineering, Lovely Professional University, Phagwara – 144411, Punjab, India; [email protected], [email protected]

*Author for correspondence
Gagandeep Kaur Department of Computer Science and Engineering, Lovely Professional University, Phagwara – 144411, Punjab, India; [email protected]

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Semantic text mining is an abstraction of acknowledge based on the meaning. Semantic terms are explained, phrases or words. The searching terms concern their weight is computed corresponding to their synonyms, and the term which has maximum weight is at the top. The determined technique will make use of neural technique for clustering the document present to their meaning. If various words which have similar meaning are present in document then it will cluster it in similar cluster. Increment the cluster quality neural network approach, with semantic based analyzer is used popularized.

Keywords: Data Mining, Pattern Taxonomy Model, Text Clustering, Text Mining