如何利用Core ML,识别一段航班行程文本中，提取出航班号，出发地，到达地，日期等转成json，例如“乘坐ZH1998 深圳保安T3-北京首都T3 当地时间07:55-10:55”

To extract information such as flight number, departure location, arrival location, and date from a text like "乘坐ZH1998 深圳保安T3-北京首都T3 当地时间07:55-10:55" and convert it into JSON using Core ML, you can follow these general steps:

Model Selection and Training: Use Create ML to train a custom natural language processing (NLP) model. You can start by preparing a dataset with labeled examples of flight information. Create ML allows you to customize models with your own data, which is ideal for this task.
Model Deployment: Once trained, the model can be exported in Core ML format and integrated into your iOS app. Core ML optimizes the model for execution on Apple devices, leveraging CPU, GPU, and the neural engine for efficient performance.
Text Processing: Use the Vision framework for text extraction if the input is an image. For text input, you can directly process it using the NLP model to identify and extract relevant entities like flight number, departure, and arrival locations.

JSON Conversion: After extracting the necessary information, you can format it into a JSON structure. For example:

{
  "flight_number": "ZH1998",
  "departure": "深圳保安T3",
  "arrival": "北京首都T3",
  "departure_time": "07:55",
  "arrival_time": "10:55"
}

For more detailed guidance on using Core ML and Create ML, you can refer to the session Explore machine learning on Apple platforms (02:05) which covers deploying models on Apple devices and customizing them with your data.