Welcome to the InfoSci Platform
Reference Hub10
Multi-Documents Summarization Based on TextRank and its Application in Online Argumentation Platform

Multi-Documents Summarization Based on TextRank and its Application in Online Argumentation Platform

Caiquan Xiong, Xuan Li, Yuan Li, Gang Liu
Copyright: © 2018 |Volume: 14 |Issue: 3 |Pages: 21
ISSN: 1548-3924|EISSN: 1548-3932|EISBN13: 9781522542667|DOI: 10.4018/IJDWM.2018070104
Cite Article Cite Article

MLA

Xiong, Caiquan, et al. "Multi-Documents Summarization Based on TextRank and its Application in Online Argumentation Platform." IJDWM vol.14, no.3 2018: pp.69-89. http://doi.org/10.4018/IJDWM.2018070104

APA

Xiong, C., Li, X., Li, Y., & Liu, G. (2018). Multi-Documents Summarization Based on TextRank and its Application in Online Argumentation Platform. International Journal of Data Warehousing and Mining (IJDWM), 14(3), 69-89. http://doi.org/10.4018/IJDWM.2018070104

Chicago

Xiong, Caiquan, et al. "Multi-Documents Summarization Based on TextRank and its Application in Online Argumentation Platform," International Journal of Data Warehousing and Mining (IJDWM) 14, no.3: 69-89. http://doi.org/10.4018/IJDWM.2018070104

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

In an Online Argumentation Platform, a great deal of speech messages are produced. To find similar speech texts and extract their common summary is of great significance for improving the efficiency of argumentation and promoting consensus building. In this article, a method of speech text analysis is proposed. Firstly, a heuristic clustering algorithm is used to cluster the speech texts and obtain similar text sets. Then, an improved TextRank algorithm is used to extract a multi-document summary, and the results of the summary are fed back to experts (i.e. participants). The method of multi-document summarization is based on TextRank, which takes into account the position of sentences in paragraphs, the weight of the key sentence, and the length of the sentence. Finally, a prototype system is developed to verify the validity of the method using the four evaluation parameters of recall rate, accuracy rate, F-measure, and user feedback. The experimental results show that the method has a good performance in the system.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.