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Text Mining and Visualization (Case Studies Using Open-Source Tools)
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Product Details
Author:
Markus Hofmann, Andrew Chisholm
Format:
Paperback
Pages:
348
Publisher:
CRC Press (June 30, 2020)
Language:
English
ISBN-13:
9780367575205
Weight:
16oz
Dimensions:
7" x 10"
File:
TAYLORFRANCIS-TayFran_260825150022844-20260825.xml
Folder:
TAYLORFRANCIS
List Price:
$66.99
Country of Origin:
United States
Series:
Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
Case Pack:
1
As low as:
$63.64
Publisher Identifier:
P-CRC
Discount Code:
H
Pub Discount:
30
Imprint:
Chapman and Hall/CRC
Overview
This book provides an introduction to text mining using some of the most popular and powerful open-source tools: KNIME, RapidMiner, Weka, R, and Python. The contributors explain how text data are gathered and processed from a wide variety of sources, including books, server access logs, websites, social media sites, and message boards. Each chap
