Build smart apps capable of analyzing language and performing language-specific tasks such as
script identification tokenization lemmatization part-of-speech tagging and named entity
recognition. This book will get you started in the world of building literate language
understanding apps. Cutting edge ML tools from Apple like CreateML CoreML and TuriCreate will
become natural parts of your development toolbox as you construct intelligent text-based apps.
You'll explore a wide range of text processing topics including reprocessing text training
custom machine learning models converting state-of-the-art NLP models to CoreML from Keras
evaluating models and deploying models to your iOS apps. You'll develop sample apps to learn
by doing. These include apps with functions for detecting spam SMS extracting text with OCR
generating sentences with AI categorizing the sentiment of text developing intelligent apps
that read text and answers questions converting speech to text detecting parts of speech and
identifying people places and organizations in text. Smart app development involves mainly
teaching apps to learn and understand input without explicit prompts from their users. These
apps understand what is in images predict future behavior and analyze texts. Thanks to
natural language processing iOS can auto-fix typos and Siri can understand what you're saying.
With Apple's own easy-to-use tool Create ML they've broughtaccessible ML capabilities to
developers. Develop Intelligent iOS Apps with Swift will show you how to easily create text
classification and numerous other kinds of models. What You'll Learn Incorporate Apple tools
such as CreateML and CoreML into your Swift toolbox Convert state-of-the-art NLP models to
CoreML from Keras Teach your apps to predict words while users are typing with smart
auto-complete Who This Book Is For Novice developers and programmers who wish to implement
natural language processing in their iOS applications and those who want to learn Apple's
native ML tools.
