Buat profil autentikasi. Integrasi Aplikasi menggunakan profil autentikasi untuk terhubung ke endpoint autentikasi untuk tugas Language - Annotate Text.
Halaman Integrasi akan muncul dan mencantumkan semua integrasi yang tersedia di project Google Cloud.
Pilih integrasi yang ada atau klik Buat integrasi untuk membuat integrasi baru.
Jika Anda membuat integrasi baru:
Masukkan nama dan deskripsi di panel Buat Integrasi.
Pilih region untuk integrasi.
Pilih akun layanan untuk integrasi. Anda dapat mengubah atau memperbarui detail akun layanan integrasi kapan saja dari panel infoRingkasan integrasi di toolbar integrasi.
Klik Buat. Integrasi yang baru dibuat akan terbuka di editor integrasi.
Di menu navigasi editor integrasi, klik Tugas untuk melihat daftar tugas dan konektor yang tersedia.
Klik dan tempatkan elemen Bahasa - Anotasi Teks di editor integrasi.
Klik elemen Language - Annotate Text di perancang untuk melihat panel konfigurasi tugas Language - Annotate Text.
Buka Authentication, lalu pilih profil autentikasi yang ada yang ingin Anda gunakan.
Opsional. Jika Anda belum membuat profil autentikasi sebelum mengonfigurasi tugas, klik + Profil autentikasi baru dan ikuti langkah-langkah seperti yang disebutkan dalam Membuat profil autentikasi baru.
Buka Input Tugas, lalu konfigurasi kolom input yang ditampilkan menggunakan tabel Parameter input tugas berikut.
Perubahan pada kolom input akan disimpan secara otomatis.
Parameter input tugas
Tabel berikut menjelaskan parameter input tugas Language - Annotate Text:
Properti
Jenis data
Deskripsi
Wilayah
String
Wilayah tempat Anda ingin menjalankan operasi anotasi. Misalnya, us-central1.
Tugas Language - Annotate Text menampilkan output respons bergantung pada operasi yang dilakukan. Berikut adalah contoh output saat analisis sintaksis dilakukan:
{
"sentences": [
... Array of sentences with sentence information
],
"tokens": [
... Array of tokens with token information
]
}
Operasi Natural Language yang didukung
Tugas Language - Annotate Text memungkinkan Anda melakukan operasi Natural Language berikut:
Analisis Sentimen
Gunakan analisis sentimen untuk mengidentifikasi dan menentukan sikap emosional (positif, negatif, atau netral) dari teks tertentu. Untuk melakukan operasi ini, tetapkan kolom extractDocumentSentiment pada JSON permintaan ke true.
Analisis Entitas
Gunakan analisis entitas untuk memeriksa dan mengambil entitas seperti kata benda nama diri dan kata benda umum dari teks tertentu. Untuk melakukan operasi ini, tetapkan kolom extractEntities pada JSON permintaan ke true.
Analisis Sintaksis
Gunakan analisis sintaksis untuk mengekstrak informasi linguistik dari teks tertentu. Untuk melakukan operasi ini, tetapkan kolom extractSyntax pada JSON permintaan ke true.
Strategi penanganan error
Strategi penanganan error untuk tugas menentukan tindakan yang harus dilakukan jika tugas gagal karena error sementara. Untuk mengetahui informasi tentang cara menggunakan strategi penanganan error, dan untuk mengetahui berbagai jenis strategi penanganan error, lihat Strategi penanganan error.
Kuota dan batas
Untuk mengetahui informasi tentang kuota dan batas, lihat Kuota dan batas.
[[["Mudah dipahami","easyToUnderstand","thumb-up"],["Memecahkan masalah saya","solvedMyProblem","thumb-up"],["Lainnya","otherUp","thumb-up"]],[["Sulit dipahami","hardToUnderstand","thumb-down"],["Informasi atau kode contoh salah","incorrectInformationOrSampleCode","thumb-down"],["Informasi/contoh yang saya butuhkan tidak ada","missingTheInformationSamplesINeed","thumb-down"],["Masalah terjemahan","translationIssue","thumb-down"],["Lainnya","otherDown","thumb-down"]],["Terakhir diperbarui pada 2025-09-03 UTC."],[[["\u003cp\u003eThe Language - Annotate Text task enables natural language processing operations like sentiment, entity, and syntactic analysis on text using Cloud Natural Language.\u003c/p\u003e\n"],["\u003cp\u003eBefore using this task, you must enable the Cloud Natural Language API and create an authentication profile within your Google Cloud project.\u003c/p\u003e\n"],["\u003cp\u003eConfiguration of the task involves selecting an existing authentication profile, or creating a new one, and setting up input parameters such as the region, project ID, and request JSON.\u003c/p\u003e\n"],["\u003cp\u003eThe task returns a JSON output based on the selected operation, with an example of syntactic analysis providing arrays of sentences and tokens.\u003c/p\u003e\n"],["\u003cp\u003eThe operations to be performed are determined by the request JSON being set to true for the desired action, and error handling strategies, quotas and limits, along with other integration actions are also available.\u003c/p\u003e\n"]]],[],null,["# Language - Annotate Text task\n\nSee the [supported connectors](/integration-connectors/docs/connector-reference-overview) for Application Integration.\n\nLanguage - Annotate Text task\n=============================\n\n|\n| **Preview**\n|\n|\n| This feature is subject to the \"Pre-GA Offerings Terms\" in the General Service Terms section\n| of the [Service Specific Terms](/terms/service-terms#1).\n|\n| Pre-GA features are available \"as is\" and might have limited support.\n|\n| For more information, see the\n| [launch stage descriptions](/products#product-launch-stages).\n\nThe **Language - Annotate Text** task lets you perform several natural language operations such as, [sentiment analysis](#operation), [entity analysis](#operation), and [syntactic analysis](#operation) on a given text using [Cloud Natural Language](/natural-language/docs/basics).\n\n\nFor information on the supported Natural Language operations, see [Supported Natural Language operations](#operation).\n\nBefore you begin\n----------------\n\nEnsure that you perform the following tasks in your Google Cloud project before configuring the **Language - Annotate Text** task:\n\n1. Enable the Cloud Natural Language API (`language.googleapis.com`).\n\n\n [Enable the Cloud Natural Language API](https://console.cloud.google.com/flows/enableapi?apiid=language.googleapis.com)\n2. Create an [authentication profile](/application-integration/docs/configuring-auth-profile#createAuthProfile). Application Integration uses an authentication profile to connect to an authentication endpoint for the **Language - Annotate Text** task.\n\n For information about granting additional roles or permissions to a service account, see [Granting, changing, and revoking access](/iam/docs/granting-changing-revoking-access).\n\nConfigure the Language - Annotate Text task\n-------------------------------------------\n\n1. In the Google Cloud console, go to the **Application Integration** page.\n\n [Go to Application Integration](https://console.cloud.google.com/integrations)\n2. In the navigation menu, click **Integrations** .\n\n\n The **Integrations** page appears listing all the integrations available in the Google Cloud project.\n3. Select an existing integration or click **Create integration** to create a new one.\n\n\n If you are creating a new integration:\n 1. Enter a name and description in the **Create Integration** pane.\n 2. Select a region for the integration. **Note:** The **Regions** dropdown only lists the regions provisioned in your Google Cloud project. To provision a new region, click **Enable Region** . See [Enable new region](/application-integration/docs/enable-new-region) for more information.\n 3. Select a service account for the integration. You can change or update the service account details of an integration any time from the info **Integration summary** pane in the integration toolbar. **Note:** The option to select a service account is displayed only if you have enabled integration governance for the selected region.\n 4. Click **Create** . The newly created integration opens in the *integration editor*.\n\n\n4. In the *integration editor* navigation bar, click **Tasks** to view the list of available tasks and connectors.\n5. Click and place the **Language - Annotate Text** element in the integration editor.\n6. Click the **Language - Annotate Text** element on the designer to view the **Language - Annotate Text** task configuration pane.\n7. Go to **Authentication** , and select an existing authentication profile that you want to use.\n\n Optional. If you have not created an authentication profile prior to configuring the task, Click **+ New authentication profile** and follow the steps as mentioned in [Create a new authentication profile](/application-integration/docs/configuring-auth-profile#createAuthProfile).\n8. Go to **Task Input** , and configure the displayed inputs fields using the following [Task input parameters](#params) table.\n\n Changes to the inputs fields are saved automatically.\n\nTask input parameters\n---------------------\n\n\nThe following table describes the input parameters of the **Language - Annotate Text** task:\n\nTask output\n-----------\n\nThe **Language - Annotate Text** task returns the response output depending on the [operations performed](#operation). Following is a sample output when syntactic analysis are performed: \n\n```\n{\n \"sentences\": [\n ... Array of sentences with sentence information\n ],\n \"tokens\": [\n ... Array of tokens with token information\n ]\n}\n```\n\n\u003cbr /\u003e\n\nSupported Natural Language operations\n-------------------------------------\n\nThe **Language - Annotate Text** task lets you perform the following Natural Language operations:\n\nSentiment Analysis\n: Use sentiment analysis to identify and determine the emotional attitue (positive, negative, or neutral) of a given text. To perform this operation, set the `extractDocumentSentiment` field of the request JSON to `true`.\n\nEntity Analysis\n: Use entity analysis to inspect and retrieve entities such as proper nouns and common nouns and from a given text. To perform this operation, set the `extractEntities` field of the request JSON to `true`.\n\nSyntactic Analysis\n: Use syntactic analysis to extract linguistic information from a given text. To perform this operation, set the `extractSyntax` field of the request JSON to `true`.\n\nError handling strategy\n-----------------------\n\n\nAn error handling strategy for a task specifies the action to take if the task fails due to a [temporary error](/application-integration/docs/error-handling). For information about how to use an error handling strategy, and to know about the different types of error handling strategies, see [Error handling strategies](/application-integration/docs/error-handling-strategy).\n\nQuotas and limits\n-----------------\n\nFor information about quotas and limits, see [Quotas and limits](/application-integration/docs/quotas).\n\nWhat's next\n-----------\n\n- Add [edges and edge conditions](/application-integration/docs/edge-overview).\n- [Test and publish](/application-integration/docs/test-publish-integrations) your integration.\n- Configure a [trigger](/application-integration/docs/how-to-guides#configure-triggers).\n- Add a [Data Mapping task](/application-integration/docs/data-mapping-task).\n- See [all tasks for Google Cloud services](/application-integration/docs/how-to-guides#configure-tasks-for-google-cloud-services)."]]
