Text Data Management and Analysis: A Practical Introduction to Information Retrieval and Text Mining (ACM Books) - Image 1

£113.00

Ingramcontent Text Data Management and Analysis: A Practical Introduction to Information Retrieval and Text Mining (ACM Books)

Name: Text Data Management and Analysis: A Practical Introduction to Information Retrieval and Text Mining (ACM Books)
Brand: Ingramcontent
Price: 113.0 GBP
Availability: InStock

Information Systems

Price History & Forecast

Last 42 days • 42 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 42 days • 1 price levels

Days at Price

Price Analysis

Most common price: £113 (42 days, 100.0%)

Price range: £113 - £113

Price levels: 1 different prices over 42 days

Description

Recent years have seen a dramatic growth of natural language text data, including web pages, news articles, scientific literature, emails, enterprise documents, and social media such as blog articles, forum posts, product reviews, and tweets. This has led to an increasing demand for powerful software tools to help people analyze and manage vast amounts of text data effectively and efficiently. Unlike data generated by a computer system or sensors, text data are usually generated directly by humans, and are accompanied by semantically rich content. As such, text data are especially valuable for discovering knowledge about human opinions and preferences, in addition to many other kinds of knowledge that we encode in text. In contrast to structured data, which conform to well-defined schemas (thus are relatively easy for computers to handle), text has less explicit structure, requiring computer processing toward understanding of the content encoded in text. The current technology of natural language processing has not yet reached a point to enable a computer to precisely understand natural language text, but a wide range of statistical and heuristic approaches to analysis and management of text data have been developed over the past few decades. They are usually very robust and can be applied to analyze and manage text data in any natural language, and about any topic. This book provides a systematic introduction to all these approaches, with an emphasis on covering the most useful knowledge and skills required to build a variety of practically useful text information systems. The focus is on text mining applications that can help users analyze patterns in text data to extract and reveal useful knowledge. Information retrieval systems, including search engines and recommender systems, are also covered as supporting technology for text mining applications. The book covers the major concepts, techniques, and ideas in text data mining and information retrieval from a practical viewpoint, and includes many hands-on exercises designed with a companion software toolkit (i.e., MeTA) to help readers learn how to apply techniques of text mining and information retrieval to real-world text data and how to experiment with and improve some of the algorithms for interesting application tasks. The book can be used as a textbook for a computer science undergraduate course or a reference book for practitioners working on relevant problems in analyzing and managing text data.

Product Specifications

Brand: Ingramcontent
Format: hardcover
ASIN: 1970001194
Category: Books > Subjects > Computing & Internet > Computer Science > Information Systems
Domain: Amazon UK
Release Date: 30 June 2016
Listed Since: 08 July 2016

Barcode

No barcode data available

Ingramcontent Text Data Management and Analysis: A Practical Introduction to Information Retrieval and Text Mining (ACM Books)

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Text Data Management and Analysis: A Practical Introduction to Information Retrieval and Text Mining (ACM Books)

Machine Learning for Text

Mining Text Data

Text Mining: Applications and Theory

The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data

Text Analytics: An Introduction to the Science and Applications of Unstructured Information Analysis

Text Mining in Practice with R

Handbook of Research on Text and Web Mining Technologies

Text as Data: A New Framework for Machine Learning and the Social Sciences

Introduction to Natural Language Processing (Adaptive Computation and Machine Learning series)

Natural Language Processing and Text Mining

Natural Language Processing and Text Mining

Survey of Text Mining: Clustering, Classification, and Retrieval

John Wiley & Sons Data Mining and Machine Learning Applications

Text Mining for Information Professionals: An Uncharted Territory

Text Mining to Support Business Intelligence: Analysing Business Data

Machine Learning for Text

Natural Language Processing with Python Updated Edition: From Basics to Advanced Projects: Mastering Text Analysis, Machine Learning Models, and Chatbot Development (Mastering the AI Revolution)

Text Mining: Predictive Methods for Analyzing Unstructured Information

Machine Learning for Text

Introduction to Databases: From Biological to Spatio-Temporal (Texts in Computer Science)

Data Mining: Concepts and Techniques (The Morgan Kaufmann Series in Data Management Systems)

CRC Press Text Mining: Classification, Clustering, and Applications

Mining the Web: Discovering Knowledge from Hypertext Data (The Morgan Kaufmann Series in Data Management Systems)