cap_iab_from_text - Linux
Overview
cap_iab_from_text is a command-line tool that helps identify inappropriate and abusive language (IAB) in text inputs. It utilizes advanced natural language processing (NLP) techniques to classify text as either harmless or containing IAB.
Syntax
cap_iab_from_text [OPTIONS] [TEXT]
Options/Flags
- -h, –help: Display usage information.
- -v, –verbose: Enable verbose output, showing progress and details.
Examples
Basic Usage:
cap_iab_from_text "This sentence is harmless."
Verbose Output:
cap_iab_from_text -v "This sentence is harmless."
Common Issues
Misclassifications: No IAB detector is perfect. If you encounter misclassifications, consider reviewing the text for context or adjusting the model’s parameters.
Offensive Inputs: Avoid using extremely offensive language as input, as it may cause the command to produce erroneous results.
Integration
cap_iab_from_text can be integrated into:
- Bash scripts: Parse text files for IAB.
- Web applications: Filter user input for inappropriate language.
- NLP pipelines: Enhance IAB detection capabilities.
Related Commands
- cap_iab_from_file: Analyze IAB in text files.
- cap_iab_predict: Train and evaluate IAB classification models.