Natural language annotation for machine learning

Rubriek: Textual/Printed/Reference Materials - Boek

Prijs: € 22.99

Rating: 0/5

☆

☆

☆

☆

☆

Verzending:
Direct beschikbaar

Create your own natural language training corpus for machine learning. Whether you"re working with English, Chinese, or any other natural language, this hands-on book guides you through a proven annotation development cycle—the process of adding metadata to your training corpus to help ML algorithms work more efficiently. You don"t need any programming or linguistics experience to get started.

Using detailed examples at every step, you"ll learn how the MATTER Annotation Development Process helps you Model, Annotate, Train, Test, Evaluate, and Revise your training corpus. You also get a complete walkthrough of a real-world annotation project. Define a clear annotation goal before collecting your dataset (corpus) Learn tools for analyzing the linguistic content of your corpus Build a model and specification for your annotation project Examine the different annotation formats, from basic XML to the Linguistic Annotation Framework Create a gold standard corpus that can be used to train and test ML algorithms Select the ML algorithms that will process your annotated data Evaluate the test results and revise your annotation task Learn how to use lightweight software for annotating texts and adjudicating the annotations

This book is a perfect companion to O"Reilly"s Natural Language Processing with Python.

• 1 Bekijk alle specificaties

Taal: en

Bindwijze: E-book

Oorspronkelijke releasedatum: 11 oktober 2012

Aantal pagina's: 346

Ebook Formaat: Epub zonder kopieerbeveiliging (DRM)

Illustraties: Nee

Hoofdauteur: James Pustejovsky

Tweede Auteur: Amber Stubbs

Hoofduitgeverij: O'Reilly Media

Lees dit ebook op: Desktop (Mac en Windows)

Lees dit ebook op: Kobo e-reader

Lees dit ebook op: Android (smartphone en tablet)

Lees dit ebook op: iOS (smartphone en tablet)

Lees dit ebook op: Windows (smartphone en tablet)

Editie: 1

Extra groot lettertype: Nee

Studieboek: Ja

EAN: 9781449359768

---