Comparison of Multi Document Summarization Techniques - A Survey

Heena Kishor Patil, Kumud Wasnik

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

How to Cite?: Heena Kishor Patil, Kumud Wasnik, "Comparison of Multi Document Summarization Techniques - A Survey", Volume 6 Issue 2, February 2017, International Journal of Science and Research (IJSR), Pages: 1982-1984, https://www.ijsr.net/getabstract.php?paperid=ART20171288, DOI: https://dx.doi.org/10.21275/ART20171288