Train model using your own dataset and use it to predict the label for a given text. Additionally, it identify if the text is likely to be spam or irrelevant.
-
Updated
Jun 16, 2024 - Python
Train model using your own dataset and use it to predict the label for a given text. Additionally, it identify if the text is likely to be spam or irrelevant.
Sms spam classifier using machine learning
Simple example for Kaggles SMS Spam Collection Dataset with a simple LSTM.
An interactive SMS Spam Detection application using Streamlit and machine learning. This app allows users to classify messages as spam or ham and view performance metrics for different models.
Welcome to the "SMS Spam Detector" project! This machine learning model identifies whether a given SMS is spam or not, providing a valuable tool for spam detection and filtering.
using naive-bayes classifier
Detect Email/SMS Spam with Machine Learning!
NLP Projects
This is an SMS-Spam-Detection system where you can check any mails/messages whether spam or not.
Add a description, image, and links to the sms-spam-detection topic page so that developers can more easily learn about it.
To associate your repository with the sms-spam-detection topic, visit your repo's landing page and select "manage topics."