Develop Intelligent iOS Apps with Swift: Understand Texts, Classify Sentiments, and Autodetect Answers in Text Using NLP
By 作者:Özgür Sahin
Publisher Finelybook 出版社 : Apress; 1st ed. edition (December 4, 2020)
Language 语言: : English
pages 页数: 182 pages
ISBN-10 : 1484264207
ISBN-13 : 9781484264201
The Book Description robot was collected from Amazon and arranged by Finelybook
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 作者: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 brought accessible 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