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Demo

Ngaranna Éntitas Pangakuan

Named Entity Recognition (NER) mangrupikeun tugas ngolah basa alami (NLP) anu ngidentipikasi sareng ngagolongkeun éntitas anu namina dina téks kana kategori anu tos ditetepkeun, sapertos jalma, organisasi, lokasi, tanggal, sareng seueur deui.

Nyuhunkeun Uji Coba Gratis

Kumaha Pangakuan Entitas Named dianggo?

  • NER dumasar aturan. Pendekatan ieu ngagunakeun aturan sareng pola anu tos siap pikeun ngaidentipikasi éntitas dina téks, sering ngandelkeun ekspresi biasa.
  • Mesin Diajar NER. Téhnik ieu ngagunakeun modél statistik anu dilatih dina data anu dilabélan pikeun otomatis mikawanoh sareng ngagolongkeun éntitas dina téks énggal.
  • Jero Learning NER. Ku ngagunakeun jaringan saraf sareng arsitéktur diajar jero, metode ieu ngahontal akurasi anu langkung luhur sareng tiasa diajar pola kompleks dina pangakuan éntitas.
  • Hibrid NER. Pendekatan ieu ngagabungkeun téknik diajar dumasar aturan sareng mesin pikeun ningkatkeun kamampuan sareng adaptasi dina ngakuan éntitas.
customer support
Nyuhunkeun Uji Coba Gratis

Dingaranan Kasus Pamakéan Pangenal Entitas

  • Palayanan Kaséhatan. NER tiasa ngabantosan inpormasi penting tina rékaman pasien, ningkatkeun manajemén data sareng perawatan pasien.
  • Keuangan. Dina kauangan, NER tiasa ngabantosan dina ngolah dokumén kauangan anu ageung, sacara otomatis nimba éntitas anu relevan sapertos perusahaan atanapi jumlah.
  • sah. Pangenalan Entitas anu Dingaranan ngagampangkeun pamariksaan dokumén hukum ku cara ngidentipikasi pihak sareng istilah konci, ningkatkeun analisa sareng efisiensi panalungtikan.
customer support
Nyuhunkeun Uji Coba Gratis

Ngaranna Éntitas Pangakuan ti Lingvanex

  • Siap dianggo. Solusi Pangenal Entitas Named kami tiasa dianggo kalayan lancar henteu ngan ukur sareng produk urang, tapi ogé sareng alat palanggan anu sanés.
  • Sagemblengna aman. Pangenalan Entitas Ngaran kami nganggo standar panyalindungan data anu ketat sapertos SOC 2 Types 1 sareng 2, GDPR sareng CPA pikeun mastikeun yén data pangguna henteu disimpen dimana waé.
  • Apdet sarta Rojongan. Kami ngajamin apdet rutin sareng dukungan téknis ngeunaan Pangenalan Entitas Named kami pikeun mastikeun relevansi sareng fungsionalitas produk.
  • Harga bebas volume. Kami nawiskeun rencana sareng solusi anu disaluyukeun pikeun organisasi, dumasar kana kabutuhan sareng pamundutna.
customer support
Nyuhunkeun Uji Coba Gratis

Basa anu Dirojong

Langkung ti 100 basa sayogi

            Taros Kami

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            * Nunjukkeun widang diperlukeun

            Privasi anjeun penting pisan pikeun kami; data anjeun bakal dipaké solely pikeun tujuan kontak.

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            Paménta anjeun parantos suksés dikirim

            Patarosan anu sering ditaroskeun

            Naon aplikasi utama Pangenalan Entitas Named?

            NER loba dipaké dina dimeunangkeun informasi, data mining, jeung pamahaman basa alam pikeun nimba informasi terstruktur tina téks teu terstruktur.

            Sakumaha akuratna téknologi Pangenal Entitas Named?

            Akurasi NER bisa rupa-rupa dumasar kana métode nu dipaké jeung kualitas data latihan, tapi métode learning jero ilaharna ngahontal akurasi luhur.

            Naha NER tiasa disaluyukeun pikeun industri khusus?

            Leres, sistem NER tiasa disaluyukeun pikeun mikawanoh éntitas khusus pikeun sagala rupa industri, ningkatkeun efektivitasna dina kontéks khusus.

            Naha Pangenalan Entitas Named sayogi dina sababaraha basa?

            Seueur sistem NER ngadukung sababaraha basa, sanaos éféktivitasna tiasa béda-béda gumantung kana basa sareng data pelatihan anu sayogi.

            Jenis éntitas naon anu tiasa diidentipikasi Pangenalan Entitas Ngaran?

            NER biasana ngaidentipikasi éntitas sapertos jalma, organisasi, lokasi, tanggal, sareng nilai moneter, sareng anu sanésna.

            Kumaha carana NER nanganan éntitas ambigu?

            Sistem NER canggih nganggo algoritma kontéks sareng mesin diajar pikeun ngabéréskeun éntitas dumasar kana téks sakurilingna.

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