A large-scale corpus of weight loss barriers constructed from Reddit narratives. The data is annotated using the COM-B behavioral framework, which categorizes barriers related to capability, opportunity, and motivation. The dataset was sourced from Kaggle, but the author, organization, and specific size details are unknown.
Use Cases
- Train NLP models to classify behavioral barriers to weight loss based on the COM-B framework mentioned in the description.
- Analyze the prevalence of different barrier types (capability, opportunity, motivation) within online health communities.
- Conduct thematic analysis on unstructured personal narratives about weight loss journeys.
- Develop computational tools for identifying support needs in digital health coaching platforms.
Strengths
- Applies a structured theoretical framework (COM-B) for annotation, which suggests a systematic coding approach.
- Described as a 'large-scale' corpus, implying a substantial number of data points for analysis.
Limitations
- Row count, file formats, and specific size are 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
- Collection Method
- Constructed from Reddit narratives.
- Time Range
- null
- Freshness
- null
- Geography
- null