Function enhancement of class questionnaire response analysis system using Japanese Sentiment Polarity Dictionary
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説明
We previously reported a class questionnaire response analysis system (class QRAS) that can classify and retrieve student questionnaire responses collected from students during a class on the basis of semantic-distributed representations in real time. In this study, we added a function for classifying questionnaire responses into positive, negative, and neutral categories using the Japanese Sentiment Polarity Dictionary to the class QRAS. Using this function, it is possible to classify questionnaire responses, for example, into categories showing reasons why some are interested in the contents of a class and some are not. This enables the class QRAS to provide more advanced class support to the user.
収録刊行物
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- 第82回全国大会講演論文集
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第82回全国大会講演論文集 2020 (1), 741-742, 2020-02-20
情報処理学会
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詳細情報 詳細情報について
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- CRID
- 1050011097169282176
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- NII論文ID
- 170000183075
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- NII書誌ID
- AN00349328
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- 本文言語コード
- en
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- 資料種別
- conference paper
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- データソース種別
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- IRDB
- CiNii Articles