£108.00

Springer - Aspects of Automatic Text Analysis: 209 Book

Name: Springer - Aspects of Automatic Text Analysis: 209 Book
Brand: Springer
Price: 108.0 GBP
Availability: InStock

AI & Machine Learning

This is the most expensive it has ever been. Walk away.

£108 today · previous high £108 · all-time low £107

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 81 days · 81 data points (no recent data)

Historical

Generating forecast…

Price Distribution

Price distribution over 81 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £108 (78 days, 96.3%)

Price range: £107 - £108

Price levels: 2 different prices over 81 days

Description

As the web continues to expand, natural language texts serve as the primary information structure for managing and sharing knowledge. This volume, Aspects of Automatic Text Analysis: 209, explores the growing necessity of automatic form and content-based text processing. To complete tasks efficiently in both academic and industrial environments, it is vital to make relevant texts available across different contexts. This book addresses the demand for methods that can reconstruct or explore the dynamic relationships between language systems, text events, and context types. By examining new application areas, disciplines, and methods, this work provides a foundation for understanding the evolution of text analysis in a digital age. It is an essential resource for those studying the intersection of language and automated computing systems.

Key Features

Explores the increasing importance of natural language texts for knowledge management and dissemination in a web-driven world.

Addresses the need for efficient text availability in various academic and industrial contexts.

Covers automatic processing techniques based on both form and content to improve task completion.

Examines the dynamic relationships between language systems, text events, and specific context types.

Provides insights into new application areas and methods within the field of text analysis.

Part of the Studies in Fuzziness and Soft Computing series, volume 209.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 3642072259
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 25 November 2010
Listed Since: 20 September 2010

Barcode

No barcode data available

Springer - Aspects of Automatic Text Analysis: 209 Book

This is the most expensive it has ever been. Walk away.

Price History & Forecast

Price Distribution

Price Analysis

Description

Key Features

Product Specifications

Barcode

Similar Products You Might Like

Text Analytics for Corpus Linguistics and Digital Humanities: Simple R Scripts and Tools (Language, Data Science and Digital Humanities)

Text Mining: From Ontology Learning to Automated Text Processing Applications (Theory and Applications of Natural Language Processing)

Text Mining with Machine Learning: Principles and Techniques

Springer Modeling, Learning, and Processing of Text Data Structures

Natural Language Processing and Text Mining

Natural Language Processing and Text Mining

Corpus Linguistics and Linguistically Annotated Corpora

Natural Language Processing in Artificial Intelligence ― NLPinAI 2021: 999 (Studies in Computational Intelligence, 999)

Machine Learning for Text

Handbook of Research on Text and Web Mining Technologies

Practical Corpus Linguistics: An Introduction to Corpus-Based Language Analysis

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

Structure Discovery in Natural Language (Theory and Applications of Natural Language Processing)

Supervised Machine Learning for Text Analysis in R (Chapman & Hall/CRC Data Science Series)

Efficient Parsing for Natural Language: A Fast Algorithm for Practical Systems: 8 (The Springer International Series in Engineering and Computer Science, 8)

Wiley Automatic Text Summarization (Iste) - NLP Research

Text Mining: Applications and Theory

Text Mining with MATLAB®

Machine Learning for Text

Intelligent Natural Language Processing: Trends and Applications: 740 (Studies in Computational Intelligence, 740)

Corpus Linguistics and Statistics with R: Introduction to Quantitative Methods in Linguistics (Quantitative Methods in the Humanities and Social Sciences)

Machine Learning for Text

Text Retrieval and Filtering: Analytic Models of Performance: 3 (The Information Retrieval Series, 3)

Demystifying Corpus Linguistics for English Language Teaching