Published 5/2023
Created by DevTechie DT
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 7 Lectures ( 1h 23m ) | Size: 605 MB
Build smart apps using Apple’s Natural Language Processing (NLP) & Machine Learning Framework
What you’ll learn
Students who wants to learn SwiftUI
Students who wants to learn Natural Language Understanding in iOS
Students who wants to learn Machine Learning and NLP
Students who wants to build smart apps backed by Natural Language Processing
Requirements
Knowledge of Xcode
Knowledge of iOS
Description
Natural Language Processing (NLP) is a field of study that focuses on the interaction between computers and human language. It involves developing algorithms and models that enable computers to understand, interpret, and generate natural language.NLP encompasses various tasks, such as text classification, sentiment analysis, machine translation, information extraction, question answering, and text generation. These tasks aim to enable machines to process and analyze vast amounts of text data, extract meaningful information, and generate human-like responses.The process of NLP involves several stages. Firstly, the raw text is preprocessed, which includes tokenization (splitting the text into individual words or tokens), stemming (reducing words to their base form), and removing stop words (commonly occurring words with little semantic value).Next, the processed text is analyzed using statistical and machine learning techniques. This involves training models on labeled data to learn patterns and relationships within the text. These models can then be used to perform specific tasks like sentiment analysis or named entity recognition.NLP also relies on linguistic resources such as lexicons, ontologies, and grammars to enhance its understanding of language. These resources provide information about word meanings, syntactic structures, and semantic relationships, aiding in tasks like word sense disambiguation or semantic parsing.Apple’s Natural Language framework is a software library provided by Apple Inc. that facilitates natural language processing (NLP) capabilities on Apple platforms. Introduced in 2017, it offers a range of tools and functionalities for text analysis and language understanding.The Natural Language framework provides several key features. One of its primary functions is tokenization, which involves breaking down text into individual units such as words, sentences, or paragraphs. This process helps in preparing the text for further analysis and processing.The framework also includes linguistic taggers that can assign labels to words or phrases based on their grammatical roles, such as part-of-speech tagging. This information can be crucial for understanding the syntactic structure of a sentence and extracting meaningful insights from text.Additionally, the Natural Language framework supports named entity recognition, allowing developers to identify and classify entities like people, places, organizations, and dates within a given text. This feature can be useful in various applications, such as information extraction or intelligent data analysis.Furthermore, the framework incorporates language identification capabilities, enabling the detection of the language in which a text is written. This can be beneficial for multilingual applications or for preprocessing text data in different languages.Apple’s Natural Language framework is designed to be user-friendly and easily integrated into applications developed for Apple platforms, including iOS, macOS, watchOS, and tvOS. It provides a high-level API that developers can leverage to perform common NLP tasks efficiently.By offering these NLP capabilities, the Natural Language framework empowers developers to create sophisticated applications that can understand and process natural language text, enhancing the overall user experience on Apple devices.This course focuses on building practical exampled using Apple’s natural language framework.
Who this course is for
Students will learn to add support of Natural Language Processing in their SwiftUI Apps
Password/解压密码www.tbtos.com
转载请注明：0daytown » Natural Language Processing in SwiftUI: By Example