This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP).

The interwoven futures of humanity and our planet are under threat. Urgent action, taken together, is needed to change course and reimagine our futures.

... dataset, resource, tool, project, article, book, or chapter appears, and no specific language cue is associated with it, we automatically assume its language to be English. The presence ... imbalance between the availability of data ...

This volume includes new challenging pedagogical perspectives while pointing to interesting conclusions for worldwide educational authorities”. Maria Pilar Safont Jordà, Universitat Jaume I, Castelló, Spain

This book brings all these topics under one roof and discusses their similarities and differences.

Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.

This book: Provides complete coverage of the major concepts and techniques of natural language processing (NLP) and text analytics Includes practical real-world examples of techniques for implementation, such as building a text ...

This User’s Guide is intended to support the design, implementation, analysis, interpretation, and quality evaluation of registries created to increase understanding of patient outcomes.

In recent years rough set theory has attracted the attention of many researchers and practitioners all over the world, who have contributed essentially to its development and applications.

This book focuses on MapReduce algorithm design, with an emphasis on text processing algorithms common in natural language processing, information retrieval, and machine learning.