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Survey Paper | Computer Science & Engineering | India | Volume 6 Issue 2, February 2017

Comparison of Multi Document Summarization Techniques - A Survey

Heena Kishor Patil | Kumud Wasnik ^[2]

Abstract: Huge amount of information is present on the World Wide Web and a large amount is being added to it frequently. It is a tedious task for the user to go through all these documents as the number of documents available on a topic will range from tens to thousands. When we see the large amount of information on the web about a particular topic, we always feel that there is a need of some automated tool. Multi-Document Summarization helps at extraction from a set of documents written about same topic and helps to familiarize themselves with information content in large set of documents.

Keywords: Summarization, ive, Extractive, Feature Based, Cluster Based, Query Dependent

Edition: Volume 6 Issue 2, February 2017,

Pages: 1982 - 1984