Train different machine learning algorithm to detect sms spam

NLP Projects

Simple example for Kaggles SMS Spam Collection Dataset with a simple LSTM.

Getting Intuition behind the implementation of Naive Bayes Classifier with SMS spam collection data.

using naive-bayes classifier

In this repo i have created a SMS Spam Prediction project in machine learning using NLP.

Classify SMS into Ham and Spam based on corpus provided by Kaggle; "SMS Spam Collection Dataset" using various models

A Natural Language Processing with SMS Data to predict whether the SMS is Spam/Ham with various ML Algorithms like multinomial-naive-bayes,logistic regression,svm,decision trees to compare accuracy and using various data cleaning and processing techniques like PorterStemmer,CountVectorizer,TFIDF Vetorizer,WordnetLemmatizer. It is implemented usi…

Sms spam classifier using machine learning

A simple mobile app which syncs all your inbox sms and predicts whether it is "Ham" or "Spam".

SMS and Email Spam Classifier

One of the primary methods for spam mail detection is email filtering. It involves categorize incoming emails into spam and non-spam. Machine learning algorithms can be trained to filter out spam mails based on their content and metadata.

A Natural Language Processing with SMS Data to predict whether the SMS is Spam/Ham with various ML Algorithms like multinomialNB & GaussianNB to compare accuracy and using various data cleaning and processing techniques like PorterStemmer,CountVectorizer. It is implemented using LSTM and Word Embeddings to gain accuracy of 97.70% .

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.

An end-2-end project

In this project we are using LSTM to classify texts as spam or ham.

Android Client for SMS Spam Detection using ML

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.

High-performance SMS spam detection using a scalable Naive Bayes algorithm and Hadoop's MapReduce framework to tackle large-scale spam filtering effectively.