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title: AggDetectApp -- Detect Aggression and Misogyny | |
colorFrom: black | |
colorTo: blue | |
sdk: docker | |
app_file: app.py | |
pinned: false | |
python_version: 3.10.5 | |
# Agression and Misogyny Detection App | |
<!-- Intro and about the project --> | |
This app detects presence of Aggression and Misogyny in online social media texts. Try it out [here](https://huggingface.co/spaces/sdutta28/AggDetectApp) | |
## Technologies Used | |
<!-- Tech stack, libraries etc --> | |
`Python, Transformers, XgBoost, Scikit-Learn` | |
## Workflow | |
<!-- In some detail of how this works --> | |
- A text is given to the app | |
- It predicts aggression and misogyny in the application | |
## Results | |
### Aggression Detection Results | |
| Metric | Score | | |
| -------- | ----- | | |
| F1 Score | 0.735 | | |
### Misogyny Detection Results | |
| Metric | Score | | |
| -------- | ----- | | |
| F1 Score | 0.852 | | |
## How to Run | |
<!-- Installation and Running Steps --> | |
- Clone the repo | |
- Install python requirements using `$ pip install -r requirements.txt` | |
- Run the server using `$ python main.py` | |
## Additional Links | |
<!-- Kaggle model training links --> | |
- [[PDF] Paper published at ICON 2021](https://aclanthology.org/2021.icon-main.60.pdf) | |