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Emotional Insights in Mental Health Conversations
Public Health & Epidemiology
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£120
About
This dataset is designed to analyze sentiment related to mental health discussions. It contains a wealth of information extracted from mental health-related texts, providing insights into emotions and sentiments expressed in various contexts. The data can be used for research, developing AI models, or supporting mental health initiatives.
Data Fields:
- text: The actual text data from various sources.
- sentiment: Label indicating the sentiment of the text (e.g., Positive, Negative, Neutral).
- date: Timestamp of the text entry.
- source: The platform or source from where the text was collected.
Use Cases:
- Sentiment Analysis: Understand the public sentiment regarding mental health topics.
- AI Model Development: Use this dataset to train AI models for sentiment detection in mental health contexts.
- Mental Health Research: Analyze trends and emotions in mental health conversations for research purposes.
File Format:
- CSV (Comma-Separated Values) & JSON
Update Frequency:
- The dataset was last updated on June 20, 2024.
Licensing:
This dataset is available under CC0 License for public use. Attribution is appreciated but not required.
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