Call For Paper Volume:4 Issue:10 Oct'2017 |

Topic Mining for Time Stamped Text Document Using PLSA Method

Publication Date : 10/07/2015

Author(s) :

Deepali Panditrao Shelke , Prof.NitinM.Shahane.

Conference Name :
4th International Conference on Recent Trends in Engineering & Technology(ICRTET-2015) July 2-4,2015 Organized by SNJB's KBJ College of Engineering,Chandwad,Nashik,Maharashtra,India

Abstract :

In the real-world applications, time stamped document or text sequences, are begin anywhere. Various text sequences are related to each other by sharing common topics. The correlation between these sequences provides more meaningful and complete clues for topic mining than those from each particular sequence. so it shows the interrelationship between the different documents with the existence of asynchronism.. i.e., documents from different sequences about the same topic may have different time stamps. Our algorithm consists of to extract the co-related common topics from the given documents using PLSA method. The advantage and efficiency of our approach were justified through empirical studies on real data set consisting of six research paper repositories.

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