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Can I read Graph-based Natural Language Processing and Information Retrieval on EtoBox?
Graph-based Natural Language Processing and Information Retrieval by Rada F. Mihalcea, Dragomir R. Radev is a nonfiction available to read on EtoBox.
What is Graph-based Natural Language Processing and Information Retrieval about?
"This book extensively covers the use of graph-based algorithms for natural language processing and information retrieval"-- "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
Who reads Graph-based Natural Language Processing and Information Retrieval?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Rada F. Mihalcea, Dragomir R. Radev
- Publisher
- Cambridge University Press (Virtual Publishing)
- Published
- 2011
- Language
- EN
- ISBN
- 9781139077095
- Category
- nonfiction
- Subjects
- Science, Computer Science, Stem
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