killobatt/TextClassification
Text classification approaches in Swift 4.2. With/Without CoreML
This project helps iOS developers integrate text classification capabilities into their mobile applications. It enables the app to automatically categorize incoming text messages, user input, or other textual data directly on an iPhone. Developers can feed raw text into the system and receive a classification label, which is useful for features like message filtering or content moderation.
No commits in the last 6 months.
Use this if you are an iOS developer looking to classify text within an iOS app, especially if you need to manage memory usage efficiently for extensions like message filters.
Not ideal if you are a data scientist or machine learning engineer needing to train new text classification models or integrate with non-iOS platforms.
Stars
11
Forks
1
Language
C++
License
MIT
Category
Last pushed
Jul 27, 2019
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/killobatt/TextClassification"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
soulverteam/SoulverCore
A powerful Swift framework for evaluating natural language math expressions
cocoa-ai/SentimentCoreMLDemo
😃 iOS11 demo application for sentiment polarity analysis.
cocoa-ai/NamesCoreMLDemo
🏷 iOS11 demo application for predicting gender from first names.
omarmhaimdat/positive_newsfeed
Build a Positive News iOS Application Using the Incredible Power of Machine Learning
appcoda/NaturalLanguageProcessing
A Quick Demo for NLP in Swift 4