Analysis of Clustering Techniques for Query Dependent Text Document Summarization

Provided by: IJESIT
Topic: Data Management
Format: PDF
World Wide Web is a huge collection of data of different file formats. With the coming of the information revolution, electronic documents are becoming a principle media of business and academic information. In order to fully utilize these on-line documents effectively, it is crucial to be able to extract the gist of these documents. It is not the case that a particular clustering algorithm is best suited for clustering of documents of different file formats. Having a text summarization system would thus be immensely useful in serving this need. In order to generate a summary, the authors have to identify the most important pieces of information from the document, omitting irrelevant information and minimizing details, and assembling them into a compact Coherent report.

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