Order Total (1 Item Items):
Shipping Destination:
Python Practice Natural Language by Tan (1 results)
Skip to main search results
Search filters
Product Type
- All Product Types
- Books (1)
- Magazines & Periodicals (No further results match this refinement)
- Comics (No further results match this refinement)
- Sheet Music (No further results match this refinement)
- Art, Prints & Posters (No further results match this refinement)
- Photographs (No further results match this refinement)
- Maps (No further results match this refinement)
- Manuscripts & Paper Collectibles (No further results match this refinement)
Condition Learn more
- New (1)
- As New, Fine or Near Fine (No further results match this refinement)
- Very Good or Good (No further results match this refinement)
- Fair or Poor (No further results match this refinement)
- As Described (No further results match this refinement)
Binding
- All Bindings
- Hardcover (No further results match this refinement)
- Softcover (1)
Collectible Attributes
- First Edition (No further results match this refinement)
- Signed (No further results match this refinement)
- Dust Jacket (No further results match this refinement)
- Seller-Supplied Images (1)
- Not Print on Demand (1)
Language (1)
Price
- Any Price
- Under US$ 25 (No further results match this refinement)
- US$ 25 to US$ 50 (No further results match this refinement)
- Over US$ 50
Free Shipping
- Free Shipping to U.S.A. (No further results match this refinement)
Seller Location
Seller Rating
-
Python Practice for Natural Language Processing(Chinese Edition)
Language: Chinese
Published by Chemical Industry Press, 2022
ISBN 10: 7122412989 ISBN 13: 9787122412980
paperback. Condition: New. Paperback. Pub Date: 2022-09-01 Pages: 218 Language: Chinese Publisher: Chemical Industry Press Python Practice of Natural Language Processing provides an in-depth interpretation of the text data processing method and industry of Natural Language Processing (NLP) through 5 chapters practical application. It discusses the fundamental problems of text data. how to extract information from text data. and what kind of information to extract. At the same time. through chapters 2 to 5. it focuses o.
