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Create ML Tutorial - Text Classifier to detect SPAM

Name: Create ML Tutorial - Text Classifier to detect SPAM
Uploaded: 2019-11-29T06:12:34Z
Duration: 14 min 59 s
Channel: Tom Baranowicz
Description: Tom Baranowicz shows how to use Create ML to train a text classifier for spam detection and integrate it into an iOS app.

Tom Baranowicz

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Presented by Tom Baranowicz
Linked in the descriptiontombaranowicz/NaturalLanguageProcessingIOS
May be out of date. The tools, versions or practices it shows have likely moved on.

Beginner. No background in the topic needed.

5.8K views6 years ago1 recommendation

AI and machine learning Mobile development Classic machine learning iOS and SwiftUI

Tom Baranowicz shows how to use Create ML to train a text classifier for spam detection and integrate it into an iOS app.

Natural Language Processing has a lot of use cases. In this video I'm showing how to use CreateML to train text classifier to detect spam content. As a bonus i will show you how to use Sentiment Analysis mechanism which is already built into iOS and works for multiple languages. Links: Github Repository (training data + test data + iOS app + trained sample model): github.com/tombaranowicz/NaturalLanguageProcessingIOS Original dataset to download from Kaggle: kaggle.com/uciml/sms-spam-collection-dataset Follow me on: Twitter: twitter.com/tombaranowicz Github: github.com/tombaranowicz Instagram: instagram.com/tombaranowicz/

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