Article : Sentence Level Clustering Approaches And Its Issues In Various Applications

Title

Sentence Level Clustering Approaches And Its Issues In Various Applications

Author

K.Sathishkumar, E. Balamurugan,D.Kavin

Clustering is a widely studied data mining problem in the text domains. The problem finds numerous applications in customer segmentation, classification, collaborative filtering, visualization, document organization, and indexing. In text processing, clustering the sentence is one of the processes and used within general text mining tasks. Many clustering methods and algorithms are used for clustering the documents at sentence level. In this paper, the sentence level based clustering algorithm is discussed as a survey. The survey explains about the problems in clustering in sentence level and the solutions to overcome these problems.

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