텍스트를 분석하여
항목에 있는 경우, 다음 값을 전달하여 ML Kit 항목 추출 API를 호출합니다.
텍스트를 annotateText:completion:
메서드에 직접 추가할 수 있습니다. 또한
다른 EntityExtractionParams
객체를 포함하고 있는
구성 옵션(참조 시간, 시간대,
항목 유형의 하위 집합에 대한 검색을 제한하는 필터
API는 각 항목에 대한 정보가 포함된 EntityAnnotation
객체의 목록을 반환합니다.
항목 추출 기본 감지기 애셋은 앱 런타임 시 정적으로 연결됩니다. 앱에 약 10.7MB가 추가됩니다.
사용해 보기
- 샘플 앱을 사용하여 이 API의 사용 예를 참조하세요.
시작하기 전에
Podfile에 다음 ML Kit 라이브러리를 포함합니다.
pod 'GoogleMLKit/EntityExtraction', '3.2.0'
프로젝트의 포드를 설치하거나 업데이트한 후 .xcworkspace를 사용하여 Xcode 프로젝트를 엽니다. ML Kit는 Xcode 버전 13.2.1 이상에서 지원됩니다.
텍스트에서 항목 추출
텍스트에서 항목을 추출하려면 먼저 언어를 지정하여 EntityExtractorOptions
객체를 만들고 이를 사용하여 EntityExtractor
를 인스턴스화합니다.
Swift
// Note: You can specify any of the 15 languages entity extraction supports here. let options = EntityExtractorOptions(modelIdentifier: EntityExtractionModelIdentifier.english) let entityExtractor = EntityExtractor.entityExtractor(options: options)
Objective-C
// Note: You can specify any of the 15 languages entity extraction supports here. MLKEntityExtractorOptions *options = [[MLKEntityExtractorOptions alloc] initWithModelIdentifier:MLKEntityExtractionModelIdentifierEnglish]; MLKEntityExtractor *entityExtractor = [MLKEntityExtractor entityExtractorWithOptions:options];
그런 다음 필요한 언어 모델이 기기에 다운로드되었는지 확인합니다.
Swift
entityExtractor.downloadModelIfNeeded(completion: { // If the error is nil, the download completed successfully. })
Objective-C
[entityExtractor downloadModelIfNeededWithCompletion:^(NSError *_Nullable error) { // If the error is nil, the download completed successfully. }];
모델이 다운로드되었으면 문자열과 선택적
MLKEntityExtractionParams
를 annotate
메서드에 추가합니다.
Swift
// The EntityExtractionParams parameter is optional. Only instantiate and // configure one if you need to customize one or more of its params. var params = EntityExtractionParams() // The params object contains the following properties which can be customized on // each annotateText: call. Please see the class's documentation for a more // detailed description of what each property represents. params.referenceTime = Date(); params.referenceTimeZone = TimeZone(identifier: "GMT"); params.preferredLocale = Locale(identifier: "en-US"); params.typesFilter = Set([EntityType.address, EntityType.dateTime]) extractor.annotateText( text.string, params: params, completion: { result, error in // If the error is nil, the annotation completed successfully and any results // will be contained in the `result` array. } )
Objective-C
// The MLKEntityExtractionParams property is optional. Only instantiate and // configure one if you need to customize one or more of its params. MLKEntityExtractionParams *params = [[MLKEntityExtractionParams alloc] init]; // The params object contains the following properties which can be customized on // each annotateText: call. Please see the class's documentation for a fuller // description of what each property represents. params.referenceTime = [NSDate date]; params.referenceTimeZone = [NSTimeZone timeZoneWithAbbreviation:@"GMT"]; params.preferredLocale = [NSLocale localWithLocaleIdentifier:@"en-US"]; params.typesFilter = [NSSet setWithObjects:MLKEntityExtractionEntityTypeAddress, MLKEntityExtractionEntityTypeDateTime, nil]; [extractor annotateText:text.string withParams:params completion:^(NSArray*_Nullable result, NSError *_Nullable error) { // If the error is nil, the annotation completed successfully and any results // will be contained in the `result` array. }
주석 결과를 루프 처리하여 다음에 대한 정보를 검색합니다. 인식할 수 있습니다.
Swift
// let annotations be the Array! returned from EntityExtractor for annotation in annotations { let entities = annotation.entities for entity in entities { switch entity.entityType { case EntityType.dateTime: guard let dateTimeEntity = entity.dateTimeEntity else { print("This field should be populated.") return } print("Granularity: %d", dateTimeEntity.dateTimeGranularity) print("DateTime: %@", dateTimeEntity.dateTime) case EntityType.flightNumber: guard let flightNumberEntity = entity.flightNumberEntity else { print("This field should be populated.") return } print("Airline Code: %@", flightNumberEntity.airlineCode) print("Flight number: %@", flightNumberEntity.flightNumber) case EntityType.money: guard let moneyEntity = entity.moneyEntity else { print("This field should be populated.") return } print("Currency: %@", moneyEntity.integerPart) print("Integer Part: %d", moneyEntity.integerPart) print("Fractional Part: %d", moneyEntity.fractionalPart) // Add additional cases as needed. default: print("Entity: %@", entity); } } }
Objective-C
NSArray*annotations; // Returned from EntityExtractor for (MLKEntityAnnotation *annotation in annotations) { NSArray *entities = annotation.entities; NSLog(@"Range: [%d, %d)", (int)annotation.range.location, (int)(annotation.range.location + annotation.range.length)); for (MLKEntity *entity in entities) { if ([entity.entityType isEqualToString:MLKEntityExtractionEntityTypeDateTime]) { MLKDateTimeEntity *dateTimeEntity = entity.dateTimeEntity; NSLog(@"Granularity: %d", (int)dateTimeEntity.dateTimeGranularity); NSLog(@"DateTime: %@", dateTimeEntity.dateTime); break; } else if ([entity.entityType isEqualToString:MLKEntityExtractionEntityTypeFlightNumber]) { MLKFlightNumberEntity *flightNumberEntity = entity.flightNumberEntity; NSLog(@"Airline Code: %@", flightNumberEntity.airlineCode); NSLog(@"Flight number: %@", flightNumberEntity.flightNumber); break; } else if ([entity.entityType isEqualToString:MLKEntityExtractionEntityTypeMoney]) { MLKMoneyEntity *moneyEntity = entity.moneyEntity; NSLog(@"Currency: %@", moneyEntity.unnormalizedCurrency); NSLog(@"Integer Part: %d", (int)moneyEntity.integerPart); NSLog(@"Fractional Part: %d", (int)moneyEntity.fractionalPart); break; } else { // Add additional cases as needed. NSLog(@"Entity: %@", entity); } }