Книга Kernel Approach for Classification Using Conditional Random Field Rohit Bajaj

Kernel Approach for Classification Using Conditional Random Field

Автор: Rohit Bajaj
Език: Английски език
Корици: С меки корици
Наличност: Външен склад
Изпращаме след 8-11 дни
40.28 78.78 лв
Extracting useful information from the pool of big data gives birth to new domain known as Informati...

Информация за книгата

Автор
Език
Английски език
Корици
Книга - С меки корици
Издадена
2022
страници
68
EAN
9786204954592
ISBN
6204954598
Enbook ID
39339629
Теглоt
119
Размери
150 x 220 x 4

Пълно описание

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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