https://github.com/hironsan/hatesonar
Hate Speech Detection Library for Python.
https://github.com/hironsan/hatesonar
hate-speech machine-learning natural-language-processing python
Last synced: about 1 year ago
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Hate Speech Detection Library for Python.
- Host: GitHub
- URL: https://github.com/hironsan/hatesonar
- Owner: Hironsan
- License: mit
- Created: 2018-01-26T12:03:06.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2025-05-11T02:17:46.000Z (about 1 year ago)
- Last Synced: 2025-05-11T03:26:39.414Z (about 1 year ago)
- Topics: hate-speech, machine-learning, natural-language-processing, python
- Language: Jupyter Notebook
- Homepage: https://hatesonar.herokuapp.com/
- Size: 4.07 MB
- Stars: 189
- Watchers: 9
- Forks: 37
- Open Issues: 22
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# HateSonar: Hate Speech Detection
HateSonar is the *hate speech detection* library for Python.

Behold, the power of HateSonar:
```python
>>> from hatesonar import Sonar
>>> sonar = Sonar()
>>> sonar.ping(text="At least I'm not a nigger")
{
"text" : "At least I'm not a nigger",
"top_class" : "hate_speech",
"classes" : [ {
"class_name" : "hate_speech",
"confidence" : 0.6001793646345871
}, {
"class_name" : "offensive_language",
"confidence" : 0.399548534507691
}, {
"class_name": "neither",
"confidence": 0.0002721008577219325
} ]
}
```
HateSonar allows you to detect hate speech and offensive language in text, without the need for training. There's no need to train the model. You have only to fed text into HateSonar. It detects hate speech with the confidence score.
[BERT based model](https://colab.research.google.com/drive/1K4bH_vot_W9XXjlw9O-2ucROW9N4ZoDN?usp=sharing)
## Feature Support
* Hate speech and offensive language detection
HateSonar officially supports Python 2.7 & 3.4–3.6
## Installation
To install HateSonar, simply use `pip`:
```bash
$ pip install hatesonar
```
## Reference
Thomas Davidson, Dana Warmsley, Michael Macy, and Ingmar Weber. 2017. "Automated Hate Speech Detection and the Problem of Offensive Language." ICWSM.