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http://dx.doi.org/10.5392/JKCA.2020.20.10.025

Comparison of Readability between Documents in the Community Question-Answering  

Mun, Gil-Seong (국민연금공단 정보전략실)
Publication Information
The Journal of the Korea Contents Association / v.20, no.10, 2020 , pp. 25-34 More about this Journal
Abstract
Community question and answering service is one of the main sources of information and knowledge in the Web. The quality of information in question and answer documents is determined by the clarity of the question and the relevance of the answers, and the readability of a document is a key factor for evaluating the quality. This study is to measure the quality of documents used in community question and answering service. For this purpose, we compare the frequency of occurrence by vocabulary level used in community documents and measure the readability index of documents by institution of author. To measure the readability index, we used the Dale-Chall formula which is calculated by vocabulary level and sentence length. The results show that the vocabulary used in the answers is more difficult than in the questions and the sentence length is longer. The gap in readability between questions and answers is also found by writing institution. The results of this study can be used as basic data for improving online counseling services.
Keywords
Community Question-Answering; Readability; Readability Formula; Text Mining;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
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