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Kernel Approach for Classification Using Conditional Random Field

Language EnglishEnglish
Book Paperback
Book Kernel Approach for Classification Using Conditional Random Field Rohit Bajaj
Libristo code: 39339629
Publishers LAP LAMBERT Academic Publishing, May 2022
Extracting useful information from the pool of big data gives birth to new domain known as Informati... Full description
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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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About the book

Full name Kernel Approach for Classification Using Conditional Random Field
Author Rohit Bajaj
Language English
Binding Book - Paperback
Date of issue 2022
Number of pages 68
EAN 9786204954592
ISBN 6204954598
Libristo code 39339629
Weight 119
Dimensions 150 x 220 x 4
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