Tetap teratur dengan koleksi
Simpan dan kategorikan konten berdasarkan preferensi Anda.
Sebagian besar aplikasi menawarkan kepada pengguna sedikit interaksi dengan teks di luar
operasi potong/salin/tempel dasar. Ekstraksi entity meningkatkan pengalaman pengguna di dalam
aplikasi Anda dengan memahami teks dan memungkinkan Anda menambahkan pintasan bermanfaat berdasarkan
konteks.
Dengan API ekstraksi entity, Anda dapat mengenali entity tertentu dalam
teks statis dan saat Anda mengetik. Setelah entity diidentifikasi, Anda dapat dengan mudah
mengaktifkan berbagai tindakan untuk pengguna berdasarkan jenis entity tersebut. Entitas
yang didukung adalah:
API ini berfokus pada presisi daripada pengenalan. Beberapa instance entitas
tertentu mungkin tidak terdeteksi untuk memastikan akurasi.
Sebagian besar entity dapat dideteksi di berbagai bahasa dan lokalitas. Kemampuan untuk
mendeteksi alamat dan nomor telepon bergantung pada bahasa yang dipilih. Ekstraksi
entity mendukung bahasa berikut:
Arab
Portugis
Inggris (Amerika Serikat, Inggris Raya)
Belanda
Prancis
Jerman
Italia
Jepang
Korea
Polandia
Rusia
China (Modern, Tradisional)
Spanyol
Thai
Turkiye
Contoh
Teks yang dimasukkan
Entitas yang terdeteksi
Temui saya di 1600 Amphitheatre Parkway, Mountain View, CA, 94043
Mari kita selenggarakan pertemuan untuk berdiskusi.
Jenis entitas 1: Alamat
Teks entitas 1: "1600 Ampitheatre Parkway, Mountain View, CA 94043"
Anda dapat menghubungi tim pengujian besok di info@google.com untuk menentukan linimasa terbaik.
Jenis entitas 1: Tanggal-Waktu
Teks entitas 1: = "24 Juni 2020"
Jenis entitas 2: Alamat email
Teks entitas 2: info@google.com
Pesanan Anda telah dikirim dari Google. Untuk memantau progres pengiriman Anda, gunakan nomor pelacakan ini: 9612804152073070474837
Jenis entitas: Nomor pelacakan
Teks entitas: "9612804152073070474837"
Hubungi restoran di 555-555-1234 untuk membayar makan malam. Nomor kartu saya adalah 4111-1111-1111-1111.
Jenis entitas 1: Nomor telepon
Teks entitas 1: "555-555-1234"
Jenis entitas 2: Kartu pembayaran
Teks entitas 2: "4111 1111 1111 1111"
[null,null,["Terakhir diperbarui pada 2025-07-25 UTC."],[[["\u003cp\u003eThe Entity Extraction API identifies specific entities like addresses, dates, emails, and more within text, enabling context-aware actions in your app.\u003c/p\u003e\n"],["\u003cp\u003eThis API prioritizes accuracy, potentially missing some entity instances to ensure precision in its identification.\u003c/p\u003e\n"],["\u003cp\u003eEntity extraction supports a wide range of languages, including English, Spanish, Chinese, Japanese, and others, although address and phone number detection depends on the specific language.\u003c/p\u003e\n"],["\u003cp\u003eWhile in beta, this API is not subject to an SLA or deprecation policy, and backward-compatibility breaking changes may occur.\u003c/p\u003e\n"]]],[],null,["# Entity extraction\n\n| This API is offered in beta, and is not subject to any SLA or deprecation policy. Changes may be made to this API that break backward compatibility.\n\nMost apps offer users very little interaction with text beyond the basic\ncut/copy/paste operations. Entity extraction improves the user experience inside\nyour app by understanding text and allowing you to add helpful shortcuts based\non context.\n\n[iOS](/ml-kit/language/entity-extraction/ios)\n[Android](/ml-kit/language/entity-extraction/android)\n\nThe entity extraction API allows you to recognize specific entities within\nstatic text and while you're typing. Once an entity is identified, you can\neasily enable different actions for the user based on the entity type. Supported\nentities included are:\n\n| Entity | Example |\n|------------------------------------------------------|-------------------------------------------------------|\n| Address | 350 third street, Cambridge MA |\n| Date-Time | 2019/09/29, let's meet tomorrow at 6pm |\n| Email address | entity-extraction@google.com |\n| Flight Number (IATA flight codes only) | LX37 |\n| IBAN | CH52 0483 0000 0000 0000 9 |\n| ISBN (version 13 only) | 978-1101904190 |\n| Money/Currency (Arabic numerals only) | $12, 25 USD |\n| Payment / Credit Cards | 4111 1111 1111 1111 |\n| Phone Number | (555) 225-3556 12345 |\n| Tracking Number (standardized international formats) | 1Z204E380338943508 |\n| URL | www.google.com https://en.wikipedia.org/wiki/Platypus |\n\nThis API focuses on precision over recognition. Some instances of a particular\nentity might not be detected in favor of ensuring accuracy.\n\nMost entities can be detected across languages and locales. The ability to\ndetect addresses and phone numbers depends on the selected language. Entity\nextraction supports the following languages:\n\n- Arabic\n- Portuguese\n- English (US, UK)\n- Dutch\n- French\n- German\n- Italian\n- Japanese\n- Korean\n- Polish\n- Russian\n- Chinese (Simplified, Traditional)\n- Spanish\n- Thai\n- Turkish\n\nExamples\n--------\n\n| Input text | Detected entities |\n|-------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------|\n| Meet me at 1600 Amphitheatre Parkway, Mountain View, CA, 94043 Let's organize a meeting to discuss. | Entity 1 type: Address Entity 1 text: \"1600 Ampitheatre Parkway, Mountain View, CA 94043\" |\n| You can contact the test team tomorrow at info@google.com to determine the best timeline. | Entity 1 type: Date-Time Entity 1 text: = \"June 24th, 2020\" Entity 2 type: Email address Entity 2 text: info@google.com |\n| Your order has shipped from Google. To follow the progress of your delivery please use this tracking number: 9612804152073070474837 | Entity type: Tracking number Entity text: \"9612804152073070474837\" |\n| Call the restaurant at 555-555-1234 to pay for dinner. My card number is 4111-1111-1111-1111. | Entity 1 type: Phone number Entity 1 text: \"555-555-1234\" Entity 2 type: Payment card Entity 2 text: \"4111 1111 1111 1111\" |"]]
