Volume : IV, Issue : IV, April - 2015

Topic Mining With Generative Model

Arshad Mulla, Bhausaheb Kekan, Nikhil Gore, Dipak Kakade

Abstract :

This paper focuses on discovery of valuable knowledge from the multiple text sequence . Previous extraction techniques give duplicate words of content. Extraction of text sequences content collects from different time stamps in

same topic. Asynchronous text sequences are extracted with mining from multiple sequences. It is the trivial content of information extraction
on multiple sequences. There is no correlation operation in between of multiple text sequences. It can give low accuracy of result in output
content. Extract the common topics and joint topics of content without duplicates. These kinds of text sequences are come under synchronous
text sequences. Synchronous text sequences are extracts as common topics in same amount of time. It comes under reliable content.

Keywords :

Article: Download PDF   DOI : 10.36106/ijsr  

Cite This Article:

Arshad Mulla, Bhausaheb Kekan, Nikhil Gore, Dipak Kakade Topic Mining With Generative Model International Journal of Scientific Research, Vol : 4, Issue : 4 April 2015


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