A Study on Deep Learning-based Humor Detecting Methods for Sentiment Analysis of Social Media


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Please use this identifier to cite or link to this item:http://doi.org/10.14943/doctoral.k14177

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Title:	A Study on Deep Learning-based Humor Detecting Methods for Sentiment Analysis of Social Media
Other Titles:	ソーシャルメディアにおける感情分析のための深層学習を用いたユーモア検出手法に関する研究
Authors:	栗, 達 Browse this author
Issue Date:	30-Jun-2020
Conffering University:	北海道大学
Degree Report Number:	甲第14177号
Degree Level:	博士
Degree Discipline:	情報科学
Examination Committee Members:	(主査) 教授荒木健治, 教授坂本雄児, 教授長谷山美紀, 准教授伊藤敏彦
Degree Affiliation:	情報科学研究科（情報理工学専攻）
Type:	theses (doctoral)
URI:	http://hdl.handle.net/2115/79059
Appears in Collections:	課程博士 (Doctorate by way of Advanced Course) > 情報科学院(Graduate School of Information Science and Technology) 学位論文 (Theses) > 博士　（情報科学）

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