AI-Driven Psychological Therapy Data
- Citation Author(s):
-
Karthick M
(Algojaxon Global Soft Private Limited)
- Submitted by:
- Karthick M
- Last updated:
- DOI:
- 10.21227/yqkv-8s38
- Data Format:
1217 views
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
- AI-powered therapy & emotion analysis
- NLP-based cognitive restructuring
- Emotion-aware chatbot development
