Classification of Open-Ended Questionnaire Texts based on Surface Expressions.
スポンサーリンク
概要
- 論文の詳細を見る
While the open-ended questionnaire method is a good means to collect free expressions of opinion, the analysis of collected questionnaires is usually done manually, and thus is costly. Furthermore, the results derived from such humans' judgments tend to lack objectivity. Given this background, we are exploring computational approaches to the automatic classification of collected open-ended questionnaires. This paper reports the results of our preliminary experiments, where we used the maximum-entropy model for questionnaire classification. The results show that our method works well for extracting discriminative linguistic expressions for each response type such as proposal, demand, approval, opposition, etc., and can produce questionnaire clusters analogous to those produced by humans.
- 言語処理学会の論文
言語処理学会 | 論文
- 複合語の分野連想語の効率的決定法
- クラス指向事例収集手法による言い換えコーパスの構築
- 動詞項構造辞書への大規模用例付与
- 言い換え技術に関する研究動向
- Morpho-Syntactic Rules for Detecting Japanese Term Variation: Establishment and Evaluation