Mohlo by se vám také líbit

Více informací o knize Fundamentals of Predictive Text Mining

• Parametry knihy
• Anotace
• Oblíbené z jiného soudku

Nákupem získáte 148 bodů

Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Graphical & digital media applications Desktop publishing

• Plný název: Fundamentals of Predictive Text Mining
• Autor: Sholom M. Weiss, Nitin Indurkhya, Tong Zhang
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 239
• EAN: 9781447171133
• ISBN: 1447171136
• ID: 15175277
• Nakladatelství: Springer London Ltd
• Hmotnost: 408 g
• Rozměry: 235 × 155 × 19 mm
• Datum vydání: 29. October 2016

Oblíbené z jiného soudku

---

---

---