Application of TextRank Algorithm for Credibility Assessment

In this article we examine the use of TextRank algorithm for identifying web content credibility. TextRank has come to be a widely applied method for automated text summarization. In our research we apply it to see how well does it fare in recognizing credible statements from a given corpus. So far,...

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Bibliographic Details
Published in2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) Vol. 1; pp. 451 - 454
Main Authors Balcerzak, Bartomiej, Jaworski, Wojciech, Wierzbicki, Adam
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2014
Subjects
Algorithm design and analysis
Computational linguistics
Europe
Information Credibility
Manuals
Prediction algorithms
Testing
Text Summarization
TextRank
Web 2.0
Web pages
Online AccessGet full text
DOI10.1109/WI-IAT.2014.70

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Summary:In this article we examine the use of TextRank algorithm for identifying web content credibility. TextRank has come to be a widely applied method for automated text summarization. In our research we apply it to see how well does it fare in recognizing credible statements from a given corpus. So far, research into use of NLP algorithms in credibility assessment was focused more on extracting the most informative statements, or dealing with recognizing the relation between claims within a document. In our paper, we use a collection of 100 websites reviewed by human subjects in regard to their credibility, therefore allowing us to check the algorithm's performance in this task. The data collected showed that the TextRank algorithm can be used for recognizing credibility on the level of aggregated statement credibility.
DOI:10.1109/WI-IAT.2014.70