NSFW_text_classifier
| Property | Value |
|---|---|
| Architecture | DistilRoBERTa-base |
| Training Data | 14,317 Reddit posts |
| Task | Binary Text Classification (NSFW/SFW) |
| Author | michellejieli |
What is NSFW_text_classifier?
NSFW_text_classifier is a specialized text classification model based on DistilRoBERTa, fine-tuned to identify not safe for work (NSFW) content in text. The model analyzes text input to determine whether it contains inappropriate or unprofessional content, providing binary classification results as either NSFW or SFW (safe for work).
Implementation Details
The model leverages the DistilRoBERTa architecture, a distilled version of RoBERTa that maintains performance while reducing computational requirements. It was trained on a carefully curated dataset of 14,317 Reddit posts, utilizing the Reddit API for data collection.
- Built on DistilRoBERTa-base architecture
- Fine-tuned specifically for NSFW content detection
- Implements sentiment analysis pipeline for classification
- Outputs confidence scores with predictions
Core Capabilities
- Binary classification of text as NSFW or SFW
- High-confidence scoring for predictions
- Efficient processing through distilled architecture
- Specialized in detecting inappropriate and unprofessional content
- Suitable for content moderation in social media contexts
Frequently Asked Questions
Q: What makes this model unique?
This model is specifically optimized for detecting NSFW content in text, trained on real-world data from Reddit. Its binary classification approach makes it particularly useful for content moderation systems and professional communication platforms.
Q: What are the recommended use cases?
The model is ideal for content moderation on social media platforms, professional communication channels, and online communities. It can be used to automatically flag inappropriate content, maintain professional standards in digital communications, and assist in content filtering systems.
