https://github.com/bayunova28/mental_health_sentiment_analysis
This repository contains about my personal learning project about sentiment analysis using Simple Transformers BERT model
https://github.com/bayunova28/mental_health_sentiment_analysis
albert-model bert-model distilbert-model mental-health natural-language-processing roberta-model sentiment-analysis simple-transformers text-classification
Last synced: about 2 months ago
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This repository contains about my personal learning project about sentiment analysis using Simple Transformers BERT model
- Host: GitHub
- URL: https://github.com/bayunova28/mental_health_sentiment_analysis
- Owner: Bayunova28
- Created: 2024-09-12T13:33:24.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2024-09-15T14:38:10.000Z (9 months ago)
- Last Synced: 2025-02-17T20:42:20.135Z (3 months ago)
- Topics: albert-model, bert-model, distilbert-model, mental-health, natural-language-processing, roberta-model, sentiment-analysis, simple-transformers, text-classification
- Language: Jupyter Notebook
- Homepage:
- Size: 14.1 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Mental Health Sentiment Analysis
Mental health problems affect society as a whole, and not just a small, isolated segment. They are therefore a major challenge to global development. No group is immune to mental disorders,
but the risk is higher among the poor, homeless, the unemployed, persons with low education, victims of violence, migrants and refugees, indigenous populations, children and adolescents, abused women
and the neglected elderly.
## BERT (Bidirectional Encoder Representations from Transformers)
BERT, short for Bidirectional Encoder Representations from Transformers, is a Machine Learning (ML) model for natural language processing. It was developed in 2018 by researchers at Google AI Language and
serves as a swiss army knife solution to 11+ of the most common language tasks, such as sentiment analysis and named entity recognition.
## Acknowledgement
* [Investing in MENTAL HEALTH](https://iris.who.int/bitstream/handle/10665/42823/9241562579.pdf?sequence=1)
* [BERT 101 🤗 State Of The Art NLP Model Explained](https://huggingface.co/blog/bert-101)
* Data Source: [Sentiment Analysis for Mental Health](https://www.kaggle.com/datasets/suchintikasarkar/sentiment-analysis-for-mental-health)