Volume 7 Issue 1 - May 2016

  • 1. Analysis of query dependent multi-document summarization using feature based and cluster based methods

    Authors : Sachin Kolhe, Yogesh Deshmukh

    Pages : 422-428

    DOI : http://dx.doi.org/10.21172/1.71.060

    Keywords : Document Summarization, Summarization, Single Document, Multi Document, Summarization Approaches, Cluster and clustering techniques. Feature based method.

    Abstract :

    WWW World Wide Web is the largest source of information. The huge amount of information is available on internet. The problem is to get the exact data or relevant information from the source data. In the past years great amount of work has been done on text document summarization but that is over the single document. So the important issue is to summarize the data from Multi-Document, and that is the challenge over document summarization. Single document summary seems to capture both the information well but it has not been the case for multi document summary where the overall comprehensive quality in presenting informative summary often lacks. It is found that most of the existing methods tend to focus on sentence scoring and less consideration is given to the contextual information content in multiple documents. In this study, some survey on multi document summarization approaches has been presented. We will direct our focus notably on two well-known approaches to multi document summarization namely the feature based method, cluster based method. With the aim of enhancing multi document summarization, specifically news documents, a novel type of approach is outlined to be developed in the future, taking into account the generic components of a news story in order to generate a better summary.

    Citing this Journal Article :

    Sachin Kolhe, Yogesh Deshmukh, "Analysis of query dependent multi-document summarization using feature based and cluster based methods", https://www.ijltet.org/journal_details.php?id=901&j_id=3076, Volume 7 Issue 1 - May 2016, 422-428, #ijltetorg