Yuya Yokoyama

Obtaining Factors Describing Impression of Questions and Answers and Estimation of Their Scores from Feature Values of Statements

First, this paper evaluates the impression of questions and answers at Questions and Answers (Q & A) sites in order to avoid the problem of mismatch between the questioner and the respondent. Fifty impression words effective in evaluating impressive expression of statements are selected from a dictionary. An impressive evaluation experiment is then conducted for sixty questions and answers posted at Yahoo! Chiebukuro by using those impression words. Nine factors are obtained by applying factor analysis to the scores obtained through the experiment. 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 is insufficient. To improve the estimation accuracy, the multiple regression analysis considering quadratic terms is applied. The result of the analysis shows that the estimation accuracy can be improved.

Improvement of Estimation Accuracy of Factor Scores from Feature Values of Statements

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.

Estimation of Factor Scores of Impressions of Question and Answer Statements

To eliminate mismatches between the intentions of questioners and respondents, we have conducted impression evaluation experiment and nine factors are obtained. Factor scores of the statements used in the experiments are obtained. Those of other statements, however, cannot be obtained. This paper proposes a method of estimating the factor scores of other statements through multiple regression analysis applied to those feature values of statements. Syntactic information of statements, word imageability, closing sentence expressions, word familiarity and notation validity are adopted as feature values of statements. It is shown that overall estimation accuracy is very good for all the factors. This research uses the data of “Yahoo! Chiebukuro” given to National Institute of Informatics by Yahoo Japan Corporation. Estimation of Factor Scores of Impressions of Question and Answer Statements

Estimation of factor scores from feature values of english question and answer statements

In order to eliminate mismatches between the intentions of questioners and respondents of Question and Answer (Q&A) sites, nine factors of impressions for Japanese statements have experimentally been obtained. Nine factors have also been obtained from the impression of English Q&A statements. This paper estimates factor scores of English Q&A statements through multiple regression analysis. These are words and characters, syntactic information, and appearance percentages. It is shown that estimation accuracies of all of the nine factors are very good.

Method of introducing appropriate respondents to questions at question-and-answer sites

This paper proposes a method for selecting respondents who can give an appropriate answer to a question, in order to eliminate mismatches between the questioners and respondents at question-and-answer sites. The possibility of detecting respondents capable of appropriately answering a newly posted question is examined and confirmed. Based on this, the proposed method uses the number of appearances of each respondent and scores them based on the distance between the factor scores of a question and previously posted answers. Impressions of statements were obtained for nine factors. Factor scores were estimated using multiple regression on the feature values of the statements. This method was evaluated by experiments that compared its precision and recall with those of methods based on average scores and distances. It was shown that the proposed method outperforms these other methods. It is also shown that, for a given question, the proposed method can successfully select those respondents who are more appropriate than around average.

Estimation of Objective Scores of Answer Statements Posted at QaA Sites

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.

Consideration of cross-validation in estimating objective scores of answer statements posted at Q&A sites

To eliminate mismatches between the intentions of questioners and respondents of Question and Answer (Q&A) sites, we have clarified 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. Objective scores of the 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. This result, however, is likely to estimate inaccurate values due to overfitting to the explanatory variables. This could result from not having considering cross-validation through the attempts. This paper tries to perform multiple regression analysis with the consideration of cross-validation. For statements of Yahoo! Auction, PC and love counseling & human relationships, respective five trials have been attempted. As a result, most of the attempts show good or fairly good estimation accuracy. It is suggested that estimation errors should be reduced.

Improvement of Estimation of Objective Scores of Answer Statements Posted at Q&A Sites

To eliminate mismatches between the intentions of questioners and respondents of Question and Answer (Q&A) sites, the authors 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. So far the authors have tried 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. As a result, with the consideration of natural logarithm, objective scores of the statements on love counseling & human relationships could be estimated good. The estimation accuracy of the statements on Yahoo! Auction and PC, however, is required to be improved. Therefore, this paper tries to improve the estimation accuracy of objective scores of Yahoo! Auction and PC. Here, the authors adopt Steven’s power law as well as Fechner’s law as new explanatory variables. In considering multicollinearity, the authors selected as many explanatory variables as possible. As a result, objective scores of the statements of PC are estimated fairly good. Improvement of Estimation of Objective Scores of Answer Statements Posted at Q&A Sites

Explaining Estimation of Factor Scores of Question and Answer Statements

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 have been tried to be estimated by using multiple regression analysis from feature values of statements. By adopting syntactic information of statements, word imageability and closing sentence expressions as the feature values, all the factor scores were well estimated. This paper tries to explain the estimation result with major feature values. The explanation is confirmed by comparing the features of the statements having high and low factor scores with the major features.