2026-03-06T23:45:53Z https://ipsj.ixsq.nii.ac.jp/oai

oai:ipsj.ixsq.nii.ac.jp:00169993 2025-01-20T08:46:34Z 1164:4179:8454:8862

再帰的評価を利用した講義アンケートの単語・コメント評価 Word and Comments Evaluation of Lecture questionnaire using Recursive Evaluation 塩飽, 朝美 椎名, 広光 小林, 伸行 Asami, Shiwaku Hiromitsu, Shiina Nobuyuki, Kobayashi 言語分析・言い換え 現在，各大学では FD 活動の一環として講義アンケートを実施し，教員や講義に対する学生の満足度等を調査することで教育や講義改善を図っている．本研究では，講義アンケートの自由回答欄のコメントを対象にコメントとそれに含まれる単語の評価推定を行う．コメントの評価方法として，一部コメントの複数人による評価に対してコメントと単語のそれぞれの評価推定を相互に再帰的に繰り返し，全コメントの評価推定を行う．また，個々人によるコメントと単語の推定評価の相違を評価する． There is a call for an increase to education quality in response to FD (Faculty Development) activities becoming mandatory due to a revision of the University Establishment Standards in 2008. A survey on lectures was carried out as part of FD activities and used for improving lectures based on lecture evaluation and satisfaction from students. However, it is difficult to give an objective evaluation of this text data since these subjects of evaluation are wide-ranging, such as expectations towards lectures or opinions on teachers. An aggregation of the opinions gained through surveys also has its limits for manual assessment because of the heavy artificial costs and time costs required. Therefore, it is difficult to evaluate all comments given in a survey. This study uses actual open ended responses to surveys to describe a method for re-evaluating a comment by estimating the evaluation of words within comments from comment evaluations done through machine learning, as well as a method that uses a dictionary of emotional words to attach a polarity value to vocabulary and estimate the evaluation of the body of a comment from that value. technical report 情報処理学会 2016-07-22 application/pdf 研究報告自然言語処理（NL） 14 2016-NL-227 1 6 2188-8779 AN10115061 https://ipsj.ixsq.nii.ac.jp/record/169993/files/IPSJ-NL16227014.pdf jpn