Fundamentals of Predictive Text Mining is popular PDF and ePub book, written by Sholom M. Weiss in 2015-09-07, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Fundamentals of Predictive Text Mining can be Read Online from any device for your convenience.
Fundamentals of Predictive Text Mining Book PDF Summary
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.
Detail Book of Fundamentals of Predictive Text Mining PDF
- Author : Sholom M. Weiss
- Release : 07 September 2015
- Publisher : Springer
- ISBN : 9781447167501
- Genre : Computers
- Total Page : 239 pages
- Language : English
- PDF File Size : 18,9 Mb
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