Develop Intelligent iOS Apps with Swift: Understand Texts, Classify Sentiments, and Autodetect Answers...

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Özgür Sahin

Develop Intelligent iOS Apps with Swift

Understand Texts, Classify Sentiments, and Autodetect Answers in Text Using NLP

Özgür Sahin

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English

APress
04 December 2020

Macintosh OS; Macintosh programming

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.

By: Özgür Sahin
Imprint: APress
Country of Publication: United States
Edition: 1st ed.
Dimensions: Height: 235mm, Width: 155mm,
Weight: 454g
ISBN: 9781484264201
ISBN 10: 1484264207
Pages: 169
Publication Date: 04 December 2020
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

Özgür Sahin has been developing iOS software since 2012. He holds a bachelors degree in computer engineering and a masters in deep learning. Currently, he serves as CTO for Iceberg Tech, an AI solutions startup. He develops iOS apps focused on AR and Core ML using face recognition and demographic detection capabilities. He writes iOS machine learning tutorials for Fritz AI and also runs a local iOS machine learning mail group to teach iOS ML tools to Turkey. In his free time, Özgür develops deep learning based iOS apps.