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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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