О книге

"Text Mining: Applications and Theory" presents the state–of–the–art algorithms for text mining from both the academic and industrial perspectives. The contributors span several countries and scientific domains: universities, industrial corporations, and government laboratories, and demonstrate the use of techniques from machine learning, knowledge discovery, natural language processing and information retrieval to design computational models for automated text analysis and mining.

This volume demonstrates how advancements in the fields of applied mathematics, computer science, machine learning, and natural language processing can collectively capture, classify, and interpret words and their contexts. As suggested in the preface, text mining is needed when “words are not enough.”

This book:

Provides state–of–the–art algorithms and techniques for critical tasks in text mining applications, such as clustering, classification, anomaly and trend detection, and stream analysis.

Presents a survey of text visualization techniques and looks at the multilingual text classification problem.

Discusses the issue of cybercrime associated with chatrooms.

Features advances in visual analytics and machine learning along with illustrative examples.

Is accompanied by a supporting website featuring datasets. Это и многое другое вы найдете в книге Text Mining: Applications and Theory (Michael W. Berry, Jacob Kogan)

Полное название книги	Jacob Kogan, Michael W. Berry Text Mining: Applications and Theory
Тип	Книга
Авторы	Jacob Kogan, Michael W. Berry
Категории	Образование и наука, Книги
ISBN	470749822
Возрастное ограничение	18
Издательство	Wiley-Blackwell
Год	2010
Название транслитом	text-mining-applications-and-theory-michael-w-berry-jacob-kogan
Просмотров	1
Рейтинг izbe.ru	0,0