Name: Fundamentals of Predictive Text Mining
SKU: 66985852
Availability: OutOfStock
Author: Nitin Indurkhya;Sholom M. Weiss;Tong Zhang

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portada Fundamentals of Predictive Text Mining

Formato

Libro Físico

Editorial

Springer Nature B.V.

Autor

Nitin Indurkhya;Sholom M. Weiss;Tong Zhang

Año

2015

Idioma

Inglés

N° páginas

256

Encuadernación

Tapa Blanda

ISBN13

9781447167518

Fundamentals of Predictive Text Mining

Nitin Indurkhya;Sholom M. Weiss;Tong Zhang (Autor) · Springer Nature B.V. · Tapa Blanda

Sin Stock

Reseña del libro "Fundamentals of Predictive Text Mining"

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.