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Mental Health Detection.pdf

202207_EMBC_kazuhiro-s.paper.pdf
Preview of Mental Health Detection
🔗 Source: ahcweb01.naist.jp
📊 Size: 167 KB
👤 Author: Kazuhiro Shidara, Hiroki Tanaka, Rumiko Asada, Kayo Higashiyama, Hiroyoshi Adachi, Daisuke Kanayama,
⬇️ Downloads: 179

Summary

Researchers created a classification model to detect mental health issues in online text-based counseling, achieving an F1-score of 0.646 using features like frequency-inverse document frequency, document embedding, and topic modeling, and identified words contributing to detection for each client and counselor.

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Description

Researchers created a classification model to detect mental health issues in online text-based counseling, achieving an F1-score of 0.646 using features like...

Technical Information

  • File Format: PDF
  • File Size: 167 KB
  • Pages: 4
  • Language: EN
  • Author: Kazuhiro Shidara, Hiroki Tanaka, Rumiko Asada, Kayo Higashiyama, Hiroyoshi Adachi, Daisuke Kanayama,
  • Total Downloads: 179
  • Last Updated: 1 week ago

Document Overview

This PDF document about Mental Health Detection provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into Mental Health Detection.

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If you're interested in Mental Health Detection, you might also want to explore:

Mental guideMental tutorialHealth guideHealth tutorialDetection guideDetection tutorial

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