Tejas-TA/Transformer-BERT-SMS-Spam-Detection
Spam SMS Detection Project implemented using NLP & Transformers. DistilBERT - a hugging face Transformer model for text classification is used to fine-tune to best suit data to achieve the best results. Multinomial Naive Bayes achieved an F1 score of 0.94, the model was deployed on the Flask server. Application deployed in Google Cloud Platform
This tool helps identify unwanted text messages by taking a short text message as input and telling you if it's spam or not. It's designed for anyone who receives SMS messages and wants to quickly check if an unfamiliar message is legitimate or a scam, without needing to understand technical details.
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Use this if you want a quick and easy way to determine if a text message is spam before you open or respond to it.
Not ideal if you need to filter large volumes of messages automatically within an application or integrate with an existing messaging system.
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9
Forks
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Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
May 01, 2023
Commits (30d)
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