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Estimation of objective scores of answer statements posted at Q&A sites

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

To eliminate mismatches between the intentions of questioners and respondents of Question and Answer (Q&A) sites, we have clarified the characteristics of the question and answer statements. It has been shown that the impression of the statements could be captured by nine factors, and the factor scores could be estimated from the feature values of the statements. Here, the objective scores of answer statements are provided. This paper tries to estimate the objective scores of answer statements through multiple regression analysis. They are estimated from the factor scores estimated by using multiple regression formulas already obtained. Absolute values of the differences between the factor scores of answer statements and those of question ones, those of the answer statements having the highest scores, and those of the ones having the lowest ones, are used as the explanatory variables. It is shown that objective scores of the objective statements could be estimated fairly good, and that those of subjective statements could be estimated well by taking the natural logarithm of the factor scores.

Original languageEnglish
Title of host publicationSNPD 2013 - 14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing
PublisherIEEE Computer Society
Pages426-431
Number of pages6
ISBN (Print)9780769550053
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2013 - Honolulu, HI, United States
Duration: 01-07-2013 → 03-07-2013

Publication series

NameSNPD 2013 - 14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing

Conference

Conference14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2013
Country/TerritoryUnited States
CityHonolulu, HI
Period01-07-13 → 03-07-13

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Software

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