International Journal of Electrical, Electronics and Data Communication (IJEEDC)
eISSN:2320-2084 , pISSN:2321-2950
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Statistics report
Apr. 2020
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 85
Paper Published : 1402
No. of Authors : 3795
  Journal Paper

Paper Title
Data Summarizer for Mobile Devices using Pseudo Relevance Feedback with Semantic Feature

The proposed method provides an automatic relevance judgment to reformulate query for summarizing data. It also can minimize bias of query expansion by using semantic features of NMF and clustering. Our data summarizer consists of the data summarization module of server side and the mobile device module (i.e., android smart phone) of user side for reducing the overload of mobile device. The experimental results demonstrate that the proposed method achieves better performance than the other query based data summarization methods. Keywords - Automatic summarizer, document summarization, NMF, PRF, clustering, query expansion, mobile device.

Author - Sun Park, Byungrae Cha

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| Published on 2019-03-27
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