Perfecting a Video Game with Game Metrics
Vol 17, No 6: December 2019

Regression model focused on query for multi documents summarization based on significance of the sentence position

Aris Fanani (UIN Sunan Ampel Surabaya)
Yuniar Farida (UIN Sunan Ampel Surabaya)
Putra Prima Arhandi (State Polytechnic of Malang)
M. Mahaputra Hidayat (Bhayangkara University)
Abdul Muhid (UIN Sunan Ampel Surabaya)
Billy Montolalu (IT Telkom Surabaya)

Article Info

Publish Date
01 Dec 2019


Document summarization is needed to get the information effectively and efficiently. One method used to obtain the document summarization by applying machine learning techniques. This paper proposes the application of regression models to query-focused multi-document summarization based on the significance of the sentence position. The method used is the Support Vector Regression (SVR) which estimates the weight of the sentence on a set of documents to be made as a summary based on sentence feature which has been defined previously. A series of evaluations performed on a data set of DUC 2005. From the test results obtained summary which has an average precision and recall values of 0.0580 and 0.0590 for measurements using ROUGE-2, ROUGE 0.0997 and 0.1019 for measurements using the proposed regression-SU4. Model can perform measurements of the significance of the position of the sentence in the document well.

Copyrights © 2019

Journal Info





Computer Science & IT


Submitted papers are evaluated by anonymous referees by single blind peer review for contribution, originality, relevance, and presentation. The Editor shall inform you of the results of the review as soon as possible, hopefully in 10 weeks. Please notice that because of the great number of ...