Social Media Text for Depression Detection

Depressiondetection is a text dataset for classifying mental health states, created by ShreyaR and hosted on Hugging Face. It was last updated on March 24, 2022. Platform tags indicate it is intended for text classification and social media analysis.

Use Cases

• Train a text classifier to predict depression labels from social media posts.
• Analyze linguistic patterns and sentiment features associated with mental health discussions.
• Fine-tune transformer models like BERT on labeled text data for depression detection tasks.
• Benchmark model performance on mental health text classification using the provided labels.

Strengths

• Dataset is hosted on a major platform (Hugging Face) with standardized access.
• Tags indicate a specific application domain (Depression Detection) and modality (text).

Limitations

• No row count, column details, or sample data are provided to assess scale or structure.
• The dataset has not been updated since 2022, which may limit its relevance to current language trends.

Provenance

Source

Hugging Face user ShreyaR.

Collection Method

Inferred from tags to be text data collected for social media analysis and classification.

Time Range

null

Freshness

Last updated March 2022; no update frequency specified.

Geography

Platform tags include 'Regionus', suggesting a possible US focus.