NEW: Subscribe to Hacking with Swift+ and accelerate your learning! >>


Found 2 articles in the Swift Knowledge Base for this category.


How to find similar words for a search term

iOS gives us the ability to search for similar words for a term by using word embeddings, which are maps of strings created using machine learning that describe how similar various words are in terms of their meaning. This kind of thing is useful when handling user searches: you might have tagged a photo with “hat”, but your user searched for “sombrero” – word embeddings let us find similar words, and we can then use those variations for data searches.... Continue Reading >>

How to perform sentiment analysis on a string using NLTagger

Sentiment analysis uses machine learning to tell us whether a piece of text is considered positive or negative, and it’s baked right in to iOS with the NaturalLanguage framework.... Continue Reading >>

About the Swift Knowledge Base

This is part of the Swift Knowledge Base, a free, searchable collection of solutions for common iOS questions, all written for Swift 5.1.

Buy Pro Swift Buy Swift Design Patterns Buy Testing Swift Buy Hacking with iOS Buy Swift Coding Challenges Buy Swift on Sundays Volume One Buy Server-Side Swift (Vapor Edition) Buy Advanced iOS Volume One Buy Advanced iOS Volume Two Buy Advanced iOS Volume Three Buy Hacking with watchOS Buy Hacking with tvOS Buy Hacking with macOS Buy Dive Into SpriteKit Buy Swift in Sixty Seconds Buy Objective-C for Swift Developers Buy Server-Side Swift (Kitura Edition) Buy Beyond Code

Was this page useful? Let us know!

Link copied to your pasteboard.