Text classification algorithms for mining unstructured data: a SWOT analysis-Reference-Cited by-同舟云学术

Text classification algorithms for mining unstructured data: a SWOT analysis

Published:2018-02-05 Issue:4 Volume:12 Page:1159-1169
ISSN:2511-2104
Container-title:International Journal of Information Technology
language:en
Short-container-title:Int. j. inf. tecnol.

Author:

Kumar Akshi^ORCID,Dabas Vikrant,Hooda Parul

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Information Systems

Link

http://link.springer.com/article/10.1007/s41870-017-0072-1/fulltext.html

Reference37 articles.

1. Goutam C (2016) Analysis of unstructured data: applications of text analytics and sentiment mining. SAS. Retrieved 24 June 2016

2. International Data Corporation (IDC): http://www.idc.com . Accessed 28 Jan 2017

3. Aggarwal CC, Zhai C-X (2012) A survey of text classification algorithms, book chapter in mining text data. Springer, Berlin

4. Rajman M, Besançon R (1998) Text mining—knowledge extraction from unstructured textual data. In: Proceeding of 6th Conference of International Federation of Classification Societies (IFCS-98), pp 473–480

5. Bhatia MPS, Kumar A, Beniwal R (2016) SWOT analysis of ontology driven software engineering. Indian J Sci Technol 9(38). https://doi.org/10.17485/ijst/2016/v9i38/102970

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