TY - GEN
T1 - Estimation of objective scores of answer statements posted at Q&A sites
AU - Yokoyama, Yuya
AU - Hochin, Teruhisa
AU - Nomiya, Hiroki
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
KW - Good Answer
KW - Question & Answer site
KW - factor score
KW - multiple regression analysis
KW - objective score
UR - https://www.scopus.com/pages/publications/84886045655
UR - https://www.scopus.com/pages/publications/84886045655#tab=citedBy
U2 - 10.1109/SNPD.2013.48
DO - 10.1109/SNPD.2013.48
M3 - Conference contribution
AN - SCOPUS:84886045655
SN - 9780769550053
T3 - SNPD 2013 - 14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing
SP - 426
EP - 431
BT - SNPD 2013 - 14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing
PB - IEEE Computer Society
T2 - 14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2013
Y2 - 1 July 2013 through 3 July 2013
ER -