Home / Companies / Vonage / Blog / Post Details
Content Deep Dive

SMS Spam Detection with Machine Learning in Python

Blog post from Vonage

Post Details
Company
Date Published
Author
Aboze Brain John
Word Count
3,264
Company Posts That Month
62
Language
English
Hacker News Points
-
Summary

This tutorial is a comprehensive guide to building an SMS spam detection web application using Python, Flask, and the Vonage SMS API. The application uses a machine learning model trained on a dataset of labeled SMS messages to classify new incoming messages as spam or ham. The tutorial covers the setup of the project, data preprocessing, feature engineering, model training, and deployment in a Flask web application. It also includes explanations of various machine learning algorithms and techniques used throughout the process.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Serverless 4 586 81 33 -13%
Secrets Management 1 312 46 28 -37%