Effective content-based pattern predicted text mining using PSE model
by P. Vijayakumar; S. Sukumaran
International Journal of Advanced Intelligence Paradigms (IJAIP), Vol. 15, No. 1, 2020

Abstract: The main importance of pattern searching engine (PSE) model provides solution for the applications, which involves pattern-based mining and find connections between patterns (e.g., emotions) and affective terms by categorising the text in the content under examination. It discovers patterns of word-use and how to connect documents that shared similar patterns. PSE model uses both theme-based examination and idea-based investigation, those can foresee the normal example by utilising semantic-based natural seeking model which interface words with comparative implications and recognise employments of words with different implications in a viable and speedy way.

Online publication date: Sat, 07-Dec-2019

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Advanced Intelligence Paradigms (IJAIP):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com