Correlated Concept based Topic Updation Model for Dynamic Corpora

J. Jayabharathy, S. Kanmani, N. Sivaranjani
2014 International Journal of Computer Applications  
A rapid growth of documents available on the Internet, digital libraries, medical documents, news wires and other scientific document corpuses has motivated the researchers to propose many text mining techniques that help users to quickly retrieve trace and summarize the information in an effective way. Topic detection is one such technique which discovers precise, meaningful and concise labels for the formulated static document clusters. This technique helps the user to navigate and retrieve
more » ... e needed information quickly and efficiently. Topic updation is the process of identifying and renewing the discovered labels whenever the document clusters are updated dynamically. This paper focuses on topic updation model based on Testor theory. The proposed work is experimented using 20newsgroup and scientific literature data set. The experimental results demonstrate that the proposed algorithm exhibit better performance, compared to the existing algorithms for topic detection.
doi:10.5120/15664-3467 fatcat:mhg5zukvyncxfnwkkmfrs3wbmu