Go to example tasks
Measure toxicity in YouTube comments
Created by
KOYOURMOON
Measure how toxic the comment section of a YouTube video or channel is. Add the comments (for example, the output of a YouTube comment scraper) and get scores for toxicity, insults, profanity, threats and identity attacks. Use the flagged values to count abusive comments or to compare videos. English only.
Toxic Comment Detector - Content Moderation APIkoyourmoon/toxicity-detector
Text
Flagged
Toxicity
Severe toxicity
+4 fieldsTextNumberBooleanListObject
Input
Texts to analyze(required):This tutorial saved my weekend project, thank you so much!+5
Flag threshold:0.5
Output fields
Text
Flagged
Toxicity
Severe toxicity
Insult
Profanity
Threat
Identity attack
Sign up on Apify01
Create your Apify account to access the Toxic Comment Detector - Content Moderation API.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
