TY - GEN
T1 - Obtaining Factors of Q&A Statements with the Consideration of Categories
AU - Yokoyama, Yuya
AU - Hochin, Teruhisa
AU - Nomiya, Hiroki
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/5
Y1 - 2019/5
N2 - In order to avoid the problem of mismatch between questioner and respondent, an impression evaluation experiment was conducted and nine factors were obtained as a result. The factors were then used to estimate the factor scores of all other statements through multiple regression analysis and to select the most appropriate respondents. The factors, however, have been obtained without taking into consideration the categories of the Q&A statements. In this paper we therefore investigated whether the consideration of categories could lead to obtaining more apparent tendencies and precise results to select the most appropriate respondents. In this paper, factor analysis is applied to the experimental results with a consideration of the following categories: Auction, PC, Love, and Politics. As a result of factor analysis, both similarity and difference could be observed for each category of Q&A statements. Comparing the new results with the previous one, two similar main factors could be obtained regardless of the category considered. On the other hand, factors other than the two have were also obtained for each respective category. This shows that the number of factors obtained for each category varies.
AB - In order to avoid the problem of mismatch between questioner and respondent, an impression evaluation experiment was conducted and nine factors were obtained as a result. The factors were then used to estimate the factor scores of all other statements through multiple regression analysis and to select the most appropriate respondents. The factors, however, have been obtained without taking into consideration the categories of the Q&A statements. In this paper we therefore investigated whether the consideration of categories could lead to obtaining more apparent tendencies and precise results to select the most appropriate respondents. In this paper, factor analysis is applied to the experimental results with a consideration of the following categories: Auction, PC, Love, and Politics. As a result of factor analysis, both similarity and difference could be observed for each category of Q&A statements. Comparing the new results with the previous one, two similar main factors could be obtained regardless of the category considered. On the other hand, factors other than the two have were also obtained for each respective category. This shows that the number of factors obtained for each category varies.
KW - Category
KW - Factor Analysis
KW - Q&A Site
UR - https://www.scopus.com/pages/publications/85076898516
UR - https://www.scopus.com/pages/publications/85076898516#tab=citedBy
U2 - 10.1109/CSII.2019.00011
DO - 10.1109/CSII.2019.00011
M3 - Conference contribution
AN - SCOPUS:85076898516
T3 - Proceedings - 2019 6th International Conference on Computational Science/Intelligence and Applied Informatics, CSII 2019
SP - 19
EP - 24
BT - Proceedings - 2019 6th International Conference on Computational Science/Intelligence and Applied Informatics, CSII 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Conference on Computational Science/Intelligence and Applied Informatics, CSII 2019
Y2 - 29 May 2019 through 31 May 2019
ER -