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Machine Learning Approach for Depression Detection in Japanese
2021
Pacific Asia Conference on Language, Information and Computation
In this paper, we describe the results of our research aimed at detecting depression in Japanese sentences. In the United States and elsewhere, machine learning approaches to detect depression from language have been demonstrated. However, in Japanese text, there are only two studies that have addressed the detection of depression. In this study, to detect depression based on linguistic features, even in documents that do not explicitly mention the topic of depression, we build a machine
dblp:conf/paclic/Niimi21
fatcat:c2vk45zd3zarhpghh554q4pxp4