Kniha Kernel Approach for Classification Using Conditional Random Field Rohit Bajaj

Kernel Approach for Classification Using Conditional Random Field

Autor: Rohit Bajaj
Jazyk: Angličtina
Vazba: Brožovaná
Dostupnost: Skladem u dodavatele
Odesíláme za 8-11 dnů
866
Extracting useful information from the pool of big data gives birth to new domain known as Informati...

Informace o knize

Autor
Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2022
Stránek
68
EAN
9786204954592
ISBN
6204954598
Enbook ID
39339629
Hmotnost
119
Rozměry
150 x 220 x 4

Kompletní popis

Extracting useful information from the pool of big data gives birth to new domain known as Information Extraction. The domain of Information Extraction has its genesis in Natural Language Processing (NLP). The fundamental drift in this field takes the birth from various competitions that are focused on the recognition and extraction of named entities such as names of people, organizations etc. As the world become more data oriented by advent of internet, new applications of processing of structured and unstructured data comes in light. Most of the interest is to extract and classify named entities like person, organization and location etc. that is a subtask of Information Extraction known as Entity Extraction and Classification.

Mohlo by vás zajímat

Boys' Crusade

Paul Fussell
362
170

Zákaznicí kteří koupili tuto knihu koupili také

Tolldreiste Geschichten

Honore De Balzac
219

Abrupts

Cavaillé
291

Conectados

A. BRUS
307

Tous coupables

Claudie HAVET
565