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Fundamentals of Predictive Text Mining

Product Image: Fundamentals of Predictive Text Mining

Fundamentals of Predictive Text Mining

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Description
This successful textbook on predictive text mining offers a unified perspective on a rapidly evolving field, integrating topics spanning the varied disciplines of data science, machine learning, databases, and computational linguistics. Serving also as a practical guide, this unique book provides helpful advice illustrated by examples and case studies. This highly anticipated second edition has been thoroughly revised and expanded with new material on deep learning, graph models, mining social media, errors and pitfalls in big data evaluation, Twitter sentiment analysis, and dependency parsing discussion. The fully updated content also features in-depth discussions on issues of document classification, information retrieval, clustering and organizing documents, information extraction, web-based data-sourcing, and prediction and evaluation. Features: includes chapter summaries and exercises; explores the application of each method; provides several case studies; contains links to free text-mining software.
Product details
Edition:
2
Number of Pages:
256
Release Date:
2015-09-14
Publication Date:
2015-09-14
Publisher:
Springer
Languages:
Original: English
ISBN10:
144716749X
ISBN13:
9781447167495
GPSR Manufacturer Reference:
[email protected]
Weight:
553 g
Height:
160 cm
Width:
241 cm
Thickness:
20 cm

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Very good
Almost no signs of wear. Book pages have no markings, accessories are intact and all other media are in good condition.
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