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.
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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.
Simple example for Kaggles SMS Spam Collection Dataset with a simple LSTM.
Sms spam classifier using machine learning
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.
Detect Email/SMS Spam with Machine Learning!
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.
A simple project to classify SMS messages as spam or not spam using Naive Bayes and TF-IDF vectorization
using naive-bayes classifier
This is an SMS-Spam-Detection system where you can check any mails/messages whether spam or not.
NLP Projects
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