Cognitive Distortion Classifier: 10-Class NLP Model for CBT Thinking Patterns

An NLP classifier designed to detect ten types of psychological thinking patterns from Cognitive Behavioral Therapy. The dataset likely contains text samples labeled with cognitive distortion categories. It was sourced from Kaggle, but the author, organization, and specific collection details are unknown.

Use Cases

• Training a classifier to identify cognitive distortions based on textual descriptions.
• Analyzing patterns of negative thinking in therapeutic or self-help text data.
• Developing tools for automated feedback in digital mental health interventions based on CBT principles.

Strengths

• Focuses on a specific, clinically relevant NLP task with 10 distinct classes.
• Directly addresses a core concept in Cognitive Behavioral Therapy (CBT).

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Kaggle