Depression-Related Text Data from Social Media

Depression dataset contains text data, likely sourced from social media platforms. The dataset was uploaded by author 'joangaes' to Hugging Face and last updated on March 10, 2022. Platform tags indicate it contains between 10,000 and 100,000 rows of text data.

Use Cases

• Classify text posts as depressive or non-depressive using language features.
• Analyze sentiment polarity and emotional intensity within user-generated text.
• Train a language model to identify specific keywords or phrases associated with depression.
• Perform topic modeling on text data to discover common themes in mental health discussions.

Strengths

• Dataset size is categorized as between 10,000 and 100,000 rows, providing a substantial text corpus.
• Data modality is confirmed as text, suitable for NLP tasks.

Limitations

• Specific column names and data schema are unknown, complicating direct analysis.
• The dataset's origin, collection method, and labeling criteria are not documented.
• Data is from 2022 or earlier, potentially lacking recent trends.

Provenance

Source

Hugging Face user 'joangaes'; original authoritative source unknown.

Collection Method

Collection method unspecified; likely web-scraped or aggregated from public social media text.

Time Range

null

Freshness

Last updated in March 2022; no update frequency specified.

Geography

Platform tag 'Regionus' suggests a possible US focus, but not confirmed.