Awesome

DocumentClassifier

Overview

DocumentClassifier is a Swift framework for classifying documents into one of five categories (Business, Entertainment, Politics, Sports, and Technology). It uses a CoreML model trained with 1,500 news articles from the BBC.

Features

• iOS 11.0+, macOS 10.13+, tvOS 11.0+, watchOS 4.0+
• 100% Test Coverage
• Best CV Score: 0.965333333333

Usage

Swift 4 Released (Sample Article)

let text = articleText
guard let classification = classifier.classify(text) else { return }
print(classification.prediction) // Technology: 0.42115752953489294
print(classification.allResults) // Business: 0.141, Entertainment: 0.138, Politics: 0.113, Sports: 0.187, Technology: 0.421

Installation

CocoaPods

CocoaPods is a centralized dependency manager for Cocoa projects. To install DocumentClassifier with CocoaPods:

1. Make sure the latest version of CocoaPods is installed.

2. Add DocumentClassifier to your Podfile:

use_frameworks!

pod 'DocumentClassifier', '1.2.0'

3. Run pod install.

Example App

NewsClassifier is an example app using the framework.

Model

• Model Link
• Best CV Score: 0.965333333333
• Trained using 1,500 news articles from the BBC from 2004-2005 (see references)
• Converted from scikit-learn Pipeline using coremltools.
• Based on the LinearSVC classifier.

Author

Todd Kramer, todd@tekramer.com

References

• BBC Datasets
• D. Greene and P. Cunningham. "Practical Solutions to the Problem of Diagonal Dominance in Kernel Document Clustering", Proc. ICML 2006. link
• Vadym Markov, SentimentPolarity
• Awesome Core ML Models
• scikit-learn
• Apple Machine Learning
• CoreML Framework
• coremltools