Mihalcea rada (39 risultati)

Paperback. Condizione: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

paperback. Condizione: Very Good. 1st Edition. Used - Very Good.

Paperback. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

Paperback. Condizione: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less.

Condizione: new.

Paperback. Condizione: Brand New. 70 pages. 6.00x6.00x0.17 inches. In Stock.

Hardcover. Condizione: Very Good. This book is in very good condition; no remainder marks. Appears to have been gently used. Inside pages are clean. ; 6.25 X 0.5 X 9.25 inches; 202 pages.

Paperback. Condizione: Brand New. 70 pages. 8.00x5.00x0.17 inches. In Stock. Costeleanu, Irina (illustratore).

Original decorated boards. Condizione: Very Good. Reprint. With diagrams. Light wear to spine, covers & corners.; 8vo; 192 pages.

Hardcover. Condizione: new. New Copy. Customer Service Guaranteed.

Condizione: New.

Condizione: New.

Condizione: New. In English.

Condizione: New.

Paperback. Condizione: New. This is the ideal introduction for students seeking to collect and analyze textual data from online sources. It covers the most critical issues that they must take into consideration at all stages of their research projects.

Condizione: New. In English.

Paperback. Condizione: New. Online communities generate massive volumes of natural language data and the social sciences continue to learn how to best make use of this new information and the technology available for analyzing it. Text Mining brings together a broad range of contemporary qualitative and quantitative methods to provide strategic and practical guidance on analyzing large text collections. This accessible book, written by a sociologist and a computer scientist, surveys the fast-changing landscape of data sources, programming languages, software packages, and methods of analysis available today. Suitable for novice and experienced researchers alike, the book will help readers use text mining techniques more efficiently and productively.…

Paperback. Condizione: Brand New. 188 pages. 9.00x7.25x0.50 inches. In Stock.

Condizione: As New. Unread book in perfect condition.

Paperback. Condizione: Brand New. 188 pages. 9.00x7.25x0.50 inches. In Stock.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New. This practical book provides researchers strategic and practical guidance on using text mining methods to analyze large text collections more efficiently and productively.&Uumlber den AutorGabe Ignatow is Professor of Soci.

Condizione: New. This book extensively covers the use of graph-based algorithms for natural language processing and information retrieval. Num Pages: 202 pages, 136 b/w illus. 11 tables. BIC Classification: UNH; UYQL. Category: (P) Professional & Vocational. Dimension: 236 x 165 x 11. Weight in Grams: 436. . 2011. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.…

Paperback. Condizione: Brand New. 320 pages. 8.75x7.25x0.75 inches. In Stock.

Condizione: New. This book extensively covers the use of graph-based algorithms for natural language processing and information retrieval. Num Pages: 202 pages, 136 b/w illus. 11 tables. BIC Classification: UNH; UYQL. Category: (P) Professional & Vocational. Dimension: 236 x 165 x 11. Weight in Grams: 436. . 2011. 1st Edition. Hardcover. . . . .…

Paperback. Condizione: New. This is the ideal introduction for students seeking to collect and analyze textual data from online sources. It covers the most critical issues that they must take into consideration at all stages of their research projects.

Paperback. Condizione: New. Online communities generate massive volumes of natural language data and the social sciences continue to learn how to best make use of this new information and the technology available for analyzing it. Text Mining brings together a broad range of contemporary qualitative and quantitative methods to provide strategic and practical guidance on analyzing large text collections. This accessible book, written by a sociologist and a computer scientist, surveys the fast-changing landscape of data sources, programming languages, software packages, and methods of analysis available today. Suitable for novice and experienced researchers alike, the book will help readers use text mining techniques more efficiently and productively.…

Hardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Hardcover. Condizione: new. Hardcover. Graph theory and the fields of natural language processing and information retrieval are well-studied disciplines. Traditionally, these areas have been perceived as distinct, with different algorithms, different applications and different potential end-users. However, recent research has shown that these disciplines are intimately connected, with a large variety of natural language processing and information retrieval applications finding efficient solutions within graph-theoretical frameworks. This book extensively covers the use of graph-based algorithms for natural language processing and information retrieval. It brings together topics as diverse as lexical semantics, text summarization, text mining, ontology construction, text classification and information retrieval, which are connected by the common underlying theme of the use of graph-theoretical methods for text and information processing tasks. Readers will come away with a firm understanding of the major methods and applications in natural language processing and information retrieval that rely on graph-based representations and algorithms. This book extensively covers the use of graph-based algorithms for natural language processing and information retrieval. Readers will come away with a firm understanding of the major methods and applications of these topics that rely on graph-based representations and algorithms. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …