Toxic Comment Classifier
# Toxic Comment Classifier
A Python library for classifying toxic comments using deep learning.
It supports detecting multiple types of toxicity including obscene language, threats, and identity hate.
📦 Installation
pip install toxic-comment-classifier
🚀 Usage
🔹 Import and Initialize the Model
from toxic_classifier.model import ToxicCommentClassifier
# Load the classifier
model = ToxicCommentClassifier()
🔹 Classify a Single Comment
text = "You are so dumb and stupid!"
scores = model.classify(text)
scores
Example Output:
{'toxic': 0.9889402985572815,
'severe_toxic': 0.07256772369146347,
'obscene': 0.620429277420044,
'threat': 0.01934845559298992,
'insult': 0.8664075136184692,
'identity_hate': 0.04072948172688484}
🔹 Get Overall Toxicity Score
toxicity = model.predict(text)
print(f"Overall Toxicity Score: {toxicity:.4f}")
Example Output:
Overall Toxicity Score: 0.4347
🔹 Classify Multiple Comments
texts = [
"I hate you so much!",
"This is wonderful news.",
"You're disgusting!",
"Absolutely love your energy!",
"You're the worst person ever!",
"Have a nice day :)"
]
scores = model.predict_batch(texts)
for txt, score in zip(texts, scores):
print(f"Text: {txt} --> Toxicity Score: {score:.4f}")
Example Output:
Text: I hate you so much! --> Toxicity Score: 0.1395
Text: This is wonderful news. --> Toxicity Score: 0.0013
Text: You're disgusting! --> Toxicity Score: 0.3110
Text: Absolutely love your energy! --> Toxicity Score: 0.0088
Text: You're the worst person ever! --> Toxicity Score: 0.0937
Text: Have a nice day :) --> Toxicity Score: 0.0115
1 maintainer
Metadata
1 maintainer
Release files for toxic-comment-classifier 0.3.0
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| toxic_comment_classifier-0.3.0.tar.gz | 8.1 MB | Details |
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|---|---|---|---|---|
| toxic_comment_classifier-0.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 16.3 MB
Release files / toxic_comment_classifier-0.3.0.tar.gz
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| Tags | Python 3 |
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