AI-Driven Psychological Therapy Data

Citation Author(s):
Karthick
M
Algojaxon Global Soft Private Limited
Submitted by:
Karthick M
Last updated:
Sat, 03/01/2025 - 19:04
DOI:
10.21227/yqkv-8s38
Data Format:
*.csv; *.json;
License:
Creative Commons Attribution
1043 Views
Categories:
Artificial Intelligence
Biomedical and Health Sciences
Keywords:
Artificial General Intelligence (AGI), Neuro Linguistic Programming (NLP), Non-Player Characters (NPCs), Hybrid Therapy Model, AI in Healthcare, Emotional Intelligence, Mental Healthcare, Human-AI Collaboration, Personalized Behavioral Support, Virtual Therapy
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Abstract 

The dataset consists of two primary files: dataset.json and analysis_script.ipynb. The dataset.json file contains structured records of AI-assisted psychological therapy sessions, including emotion recognition, NLP techniques, cognitive behavioral therapy (CBT) patterns, hypnotherapy data, user feedback, and therapy outcomes. The analysis_script.ipynb Jupyter Notebook provides data preprocessing, visualization, and statistical analysis of therapy session outcomes.

Instructions: 

This dataset includes structured therapy session records featuring AI-driven emotion analysis, NLP techniques, and therapy outcomes.

Contents:

  • dataset.json: AI-assisted therapy session data.
  • analysis_script.ipynb: Jupyter Notebook for data analysis.

Usage:

Load dataset.json using Pandas (pd.read_json("dataset.json")) and analyze trends with analysis_script.ipynb.

Requirements:

  • Python 3.x
  • Libraries: Pandas, Matplotlib, Seaborn, NLTK

Ethical Considerations:

Fully anonymized & GDPR-compliant, for research & educational use only.

Applications:

  • AI-powered therapy & emotion analysis
  • NLP-based cognitive restructuring
  • Emotion-aware chatbot development

Dataset Files

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