z-logo
open-access-imgOpen Access
Text Mining, its Utilities, Challenges and Clustering Techniques
Author(s) -
Bhavna Bhardwaj
Publication year - 2016
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/ijca2016908452
Subject(s) - computer science , cluster analysis , focus (optics) , field (mathematics) , face (sociological concept) , data mining , data science , information retrieval , artificial intelligence , social science , physics , mathematics , sociology , pure mathematics , optics
Text analysis is an interdisciplinary field of data mining in which person try to extract meaningful results from the unstructured textual data. In this paper the focus will be on different text mining application, the problems that we face while doing text mining and different text clustering approaches and try to figure out what next can be done for better performance of clustering algorithms.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom