Title of article :
A New Effective Criterion to Select Sentences in Extractive Text Summarization
Author/Authors :
Kiabod, Maryam islamic azad university - Department of Computer Engineering, ايران , Naderi Dehkordi, Mohammad lslamic Azad Univcrsity, Najafabad Branch - Department of Computer Engineering, ايران , Sharafi, Mehran islamic azad university - Department of Computer Engineering, ايران
Abstract :
This paper introduces a new criterion to get better performance in selecting the most important sentences of text for extractive text summarization. There are two kinds of criteria to find the most relevant sentences of text: statistical criteria and semantic relations between text sentences. The proposed technique is a statistical criterion. The idea behind our approach is to consider the position of sentence words relative to words in the sentence occurring in title and keywords. We evaluate this criterion in combination with other statistical criteria. The results show that using this criterion in selecting the most important sentences of text has good results
Keywords :
Extractive Text Summarization , keywords , Sentence Extraction , Text mining
Journal title :
Journal of Telecommunication Electronic and Computer Engineering
Journal title :
Journal of Telecommunication Electronic and Computer Engineering
