Clustering For Text Summarization

Text summarization is a process of reducing the size of a text while preserving its information content. This paper proposes a sentences clustering based summarization approach. With the abundance of documents through World Wide Web and corporate document management systems, the dynamic partitioning of texts into previously unseen categories ranks top on the priority list for all business intelligence systems. This increase in both the volume and the variety of data requires advances in methodology to automatically understand, process, and summarize the data. Data Clustering can be considered the most important unsupervised learning problem.