deepankarvarma/SMS-Spam-Detection-using-NLP
This repository contains the code for building a spam detection system for SMS messages using deep learning techniques in TensorFlow2. Three different architectures, namely Dense Network, LSTM, and Bi-LSTM, have been used to build the spam detection model. The final model has been deployed as a Streamlit app to showcase its working.
No commits in the last 6 months.
Stars
3
Forks
3
Language
Jupyter Notebook
License
—
Category
Last pushed
Apr 25, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/deepankarvarma/SMS-Spam-Detection-using-NLP"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
MAIF/melusine
📧 Melusine: Use python to automatize your email processing workflow
97k/spam-ham-web-app
A web app that classifies text as a spam or ham. I am using my own ML algorithm in the backend,...
hrwhisper/SpamMessage
ä¸æ–‡åžƒåœ¾çŸä¿¡è¯†åˆ«(手写分类器)
30lm32/ml-spam-sms-classification
Naive Bayesian, SVM, Random Forest Classifier, and Deeplearing (LSTM) on top of Keras and...
stdlib-js/datasets-spam-assassin
Spam Assassin public mail corpus.