Text mining in practice with R /

A reliable, cost-effective approach to extracting priceless business information from all sources of text Excavating actionable business insights from data is a complex undertaking, and that complexity is magnified by an order of magnitude when the focus is on documents and other text information. T...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Kwartler, Ted, 1978- (Author)
Format: Electronic eBook
Language:Inglés
Published: Hoboken, NJ : John Wiley & Sons, 2017.
Subjects:
Data mining.
Text processing (Computer science)
Data Mining
Word Processing
Exploration de données (Informatique)
Traitement de texte.
COMPUTERS > General.
Data mining
Internet Resources.
Online Access:Texto completo
Table of Contents:
  • What is text mining?
  • Basics of text mining
  • Common text mining visualizations
  • Sentiment scoring
  • Hidden structures : clustering, string distance, text vectors & topic modeling
  • Document classification : finding clickbait from headlines
  • Predictive modeling : using text for classifying & predicting outcomes
  • The OpenNLP Project
  • Text sources.

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