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SMS Spam Detection BertForSequenceClassification
S
SMS Spam Detection BertForSequenceClassification
Developed by andresar1205
A BERT fine-tuned SMS classification model for distinguishing spam from non-spam messages.
Downloads 135
Release Time : 11/10/2023
Model Overview
This model is based on the BERT architecture, specifically optimized for SMS text, effectively identifying spam messages.
Model Features
BERT-based architecture
Leverages BERT's powerful contextual understanding to improve classification accuracy.
SMS text optimization
Specifically optimized for the characteristics of short SMS texts, adapting to SMS classification tasks.
Binary classification task
Focuses on the binary classification problem of spam vs. non-spam messages.
Model Capabilities
Text classification
Spam detection
Use Cases
Communication security
Spam SMS filtering
Automatically identifies and filters spam SMS received on mobile phones
Enhances communication security and reduces user harassment
SMS classification system
Provides automatic classification functionality for SMS applications
Improves user experience and enhances application value
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