Простой, но мощный SMS-спамер
💣 Edited with some fixes version of SMSBomber for directed spamming
TikTok SMS Sender (Full requests) [argus, ladon, latest tiktok versions, devices]
Birden Fazla Sms Atarak İstediğiniz Kişiye Şaka Yapabilirsiniz.
New ! Best iranian SMS bomber..(2024)
Simple example for Kaggles SMS Spam Collection Dataset with a simple LSTM.
SMS Spam and Ham Detection using Multinomial Naive Bayes Algorithm.
Spam classifier using Bag of Words (BOW) model and Support Vector Machine (SVM) applied with GridSearchCV.
Natural Language Processing using Tensorflow, the model is trained on >5000 SMS text messages to identify spam messages with an validation accuracy of over 98%.
detects youtube comment spam, text spam, email spam, sms spam in one
Use the Naive Bayes algorithm to create a model that can classify dataset (https://archive.ics.uci.edu/ml/datasets/SMS+Spam+Collection) SMS messages as spam or not spam
SMS Spam Collection Data Set
A machine learning project using different feature analysis and cross validation and NLP.
High-performance SMS spam detection using a scalable Naive Bayes algorithm and Hadoop's MapReduce framework to tackle large-scale spam filtering effectively.
The Spam SMS/Email Classifier is an NLP-based machine learning model designed to automatically detect whether a given SMS or Email is spam (unsolicited message) or ham (legitimate message). It processes textual content using NLP techniques to clean and extract meaningful features, then applies machine learning algorithms to classify the message.
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