Skip to main content

Hate Speech Detection Library for Python

Project description

HateSonar: Hate Speech Detection

HateSonar is the hate speech detection library for Python.

Demo Image.

Behold, the power of HateSonar:

>>> 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.

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:

$ 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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Built Distribution

hatesonar-0.0.7-py3-none-any.whl (883.5 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page