Kniha Kernel Approach for Classification Using Conditional Random Field Rohit Bajaj

Kernel Approach for Classification Using Conditional Random Field

Autor: Rohit Bajaj
Jazyk: Angličtina
Väzba: Brožovaná
Dostupnosť: Skladom u dodávateľa
Odosielame za 8-11 dní
38.10
Extracting useful information from the pool of big data gives birth to new domain known as Informati...

Informácie o knihe

Autor
Jazyk
Angličtina
Väzba
Kniha - Brožovaná
Vydalo
2022
Stránok
68
EAN
9786204954592
ISBN
6204954598
Enbook ID
39339629
Hmotnosť
119
Rozmery
150 x 220 x 4

Kompletný 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.

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