Title :
Improvement of Estimation Accuracy of Factor Scores from Feature Values of Statements
Author :
Yokoyama, Yuya ; Hochin, Teruhisa ; Nomiya, Hiroki ; Satoh, Tetsuji
Author_Institution :
Kyoto Inst. of Technol., Kyoto, Japan
fDate :
May 30 2012-June 1 2012
Abstract :
In order to avoid the problem of mismatch between the questioner and the respondent, we have conducted impression evaluation experiment and nine factors are obtained as a result. Then factor scores of any other statements are tried to be estimated by using multiple regression analysis. This result, however, shows that the estimation accuracy was insufficient and that the ninth factor could not be obtained. To improve the estimation accuracy, some feature values, such as word image ability and closing sentence expressions are introduced in this paper. The result of the analysis shows that the estimation accuracy is drastically improved and that closing sentence expressions as well as style or content of sentences are significant for estimation accuracy.
Keywords :
question answering (information retrieval); regression analysis; word processing; closing sentence expressions; estimation accuracy; factor scores; impression evaluation experiment; multiple regression analysis; sentence content; statement feature value; word imageability; Computers; Conferences; Information science; Closing Sentence Expression; Factor Score; Multiple Regression Analysis; Question & Answer site; Word Imageability;
Conference_Titel :
Computer and Information Science (ICIS), 2012 IEEE/ACIS 11th International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-1536-4
DOI :
10.1109/ICIS.2012.60