Abstract:In order to eliminate mismatches between the questioners and respondents at Question and Answer sites, this paper proposes a method of selecting respondents who can appropriately answer a question with the consideration of categories of answer statements. The proposed method uses the number of appearance of respondents and the score based on the distance between the factor scores of a question and an answer already posted. It has experimentally been evaluated by comparing it with the methods based on average scores and distances through precision and recall. There is room for improvement in obtaining precision by considering categories of answer statements. Therefore, finding respondents who can properly answer a newly posted question of the same category is investigated. As a result, considering categories of answer statements leads to the improvement of precision.

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This paper tries to find the possibility of searching respondents capable of giving appropriate answers to a newly posted question in order to eliminate mismatches between the intentions of questioners and respondents of Question and Answer sites. The impressions of sixty questions and their responses posted at Yahoo! Chiebukuro have been experimentally evaluated. By applying factor analysis to the scores of the experiment, the impression of the statements could be captured by nine factors. Factor scores can be estimated by using the features including syntactic information, word imageability, closing sentence expressions, word familiarity, and notation validity. The good overall estimation accuracy has been obtained. The distances between the factor score of a question statement and those of answer statements already posted are calculated. It is shown that the distance and the number of appearance may help us select users who can give appropriate answers to a question. With the consideration of categories of answer statements, users who specialize in certain categories could be regarded to give more appropriate answers.

In order to eliminate mismatches between the intentions of questioners and respondents of Question and Answer (Q&A) sites, nine factors of impressions for statements have experimentally been obtained. Factor scores are then estimated by using the feature values of statements. So far the possibility of searching respondents capable of giving appropriate answers to a newly posted question has been established for Auction, PC and Love. It has been shown that the distance and the number of appearance may help us select users who can give appropriate answers to a question. In the similar fashion, this paper tries to find the possibility of detecting respondents who can appropriately answer a newly posted question for other categories such as Internet, Politics, etc. As a result of analysis, several newly regarded categories shows the similar tendency as the previous analysis, while some categories related to Yahoo! JAPAN show less outstanding tendency.

With a view to detecting whether economic activity deterioration for elderly people at age of sixty-five or over could be observed, anonymous data (AD) were used as analysis data, which were obtained from the National Survey of Family Income and Expenditure (NSFIE) conducted by the Ministry of Internal Affairs and Communications (MIC). We have developed a method to detect dissaving risk among elderly people. In our previous analysis, AD were divided into test data and training data. Three kinds of methods were performed on the basis of income and savings. Then two-step methods were processed to determine dissaving risk. Nevertheless, in utilizing AD as it is, the security of anonymity could be questionable. Therefore, in order to enhance the anonymity of the data, random data (RD) were generated based on AD in this paper. Then RD were compared with the case of analyzing mere AD as it is, for the purpose of performance evaluation. Further analysis results suggest that using both RD and AD would be as effective as using only AD in evaluating the performance of the proposed method.