Kernel Approach for Classification Using Conditional Random Field: Information Extraction - Brossura

Pawar, Lokesh; Bajaj, Rohit

 
9786204954592: Kernel Approach for Classification Using Conditional Random Field: Information Extraction
Brossura
ISBN 10: 6204954598 ISBN 13: 9786204954592
Casa editrice: LAP LAMBERT Academic Publishing, 2022

Sinossi

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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Editore
LAP LAMBERT Academic Publishing
Data di pubblicazione
2022
Lingua
Inglese
ISBN 10 
6204954598
ISBN 13 
9786204954592
Rilegatura
Copertina flessibile
Numero di pagine
68
Contatto del produttore
non disponibile
Persona responsabile
KreGa Onlinehandel GmbH
4950000000000
info@krega-onlinehandel.de

Birkenweg 31
Brakel
33034
Germania