Description: Supervised Machine Learning for Text Analysis in R Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Emil Hvitfeldt, Julia Silge Format: Paperback Publisher: Taylor & Francis Ltd, United Kingdom Imprint: Chapman & Hall/CRC ISBN-13: 9780367554194, 978-0367554194 Synopsis How do preprocessing steps such as tokenization, stemming, and removing stop words affect predictive models? Build beginning-to-end workflows for predictive modeling using text as features Compare traditional machine learning methods and deep learning methods for text data
Price: 45.06 GBP
Location: Aldershot
End Time: 2024-01-02T12:18:24.000Z
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Book Title: Supervised Machine Learning for Text Analysis in R
Item Height: 234mm
Item Width: 156mm
Author: Julia Silge, Emil Hvitfeldt
Publication Name: Supervised Machine Learning for Text Analysis in R
Format: Paperback
Language: English
Publisher: Taylor & Francis LTD
Subject: Mathematics
Publication Year: 2021
Type: Textbook
Item Weight: 740g
Number of Pages: 402 Pages
