Papers by Haruya Suzuki
A Japanese Dataset for Subjective and Objective Sentiment Polarity Classification in Micro Blog Domain (2022.lrec-1)
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Haruya Suzuki, Yuto Miyauchi, Kazuki Akiyama, Tomoyuki Kajiwara, Takashi Ninomiya, Noriko Takemura, Yuta Nakashima, Hajime Nagahara
| Challenge: | Existing studies on emotion analysis have studied the analysis of basic emotions and sentiment polarity independently. |
| Approach: | They extend the WRIME dataset with basic emotion intensity from both the writer's subjective and reader's perspective to include the Japanese sentiment polarity. |
| Outcome: | The proposed dataset is the first large-scale corpus to annotate both basic emotions and sentiment polarity labels from both the writer’s and reader’s perspectives. |
Emotional Intensity Estimation based on Writer’s Personality (2022.aacl-srw)
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| Challenge: | Existing emotion analysis models are difficult to accurately estimate the writer’s subjective emotions behind the text. |
| Approach: | They propose a method for personalized emotional intensity estimation based on a writer's personality test for Japanese SNS posts. |
| Outcome: | The proposed method improves on the existing method and the proposed hybrid model achieved state-of-the-art performance. |