January 2023
Intermediate to advanced
288 pages
6h 6m
Chinese
Content preview from 移动端AI与ML应用开发：基于iOS和Android
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iOS
上使用
ML Kit
的文本处理应用程序
|
109
图
7-1
：在
iOS
上运行实体提取
正如你在文本下方看到的，生成了一个包含找到的实体的列表。例如，“明天下午 5 点”
被提取为日期时间。电话号码和电子邮件地址等其他信息也被正确提取。通常一个值会
匹配多个模式。例如，书的 ISBN 以三位数字开头，与电话号码的模式相匹配，因此它
被检测为两个实体！
现在让我们探索如何创建这个应用程序！
7.1.1
第
1
步：创建应用程序并添加
ML Kit pod
使用 Xcode，创建一个新应用程序。完成后，关闭 Xcode 并在
.xcproject
所在的目录中
创建一个 podfile。
编辑该 podfile 以包含
GoogleMLKit/EntityExtraction
pod，如下所示：
platform :ios, '10.0'
# Comment the next line if you're not using Swift and don't want to use dynamic
# frameworks
use_frameworks!
target 'MLKitEntityExample' do
pod 'GoogleMLKit/EntityExtraction'
end
target
后面的值应该是你的项目名称，因此在本例中，我创建了一个名为
MLKitEntity-
Example
的项目。
完成后，运行
pod install
。CocoaPods 将更新你的项目来使用 ML Kit 依赖库并生成
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.