人工知能学会全国大会論文集
33rd (2019)
セッションID: 2A4-E-2-03
会議情報

Exploring Machine Learning Techniques for Irony Detection
*Zheng Lin CHIAMichal PTASZYNSKIFumito MASUI
著者情報
キーワード: Irony Detection
会議録・要旨集 フリー

詳細
抄録

Irony detection is considered a complex task in Natural Language Processing. This paper first introduce and cover the recently state of irony detection. Then we review and summarize previous related research on text-based irony detection. Finally we compare various classifiers including the proposed CNN model on three dataset of tweets, and analysis and discuss the results. We conclude that CNN is effective for irony detection under various situation with our model outperforming all the other classifiers.

著者関連情報
© 2019 The Japanese Society for Artificial Intelligence
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