Details for: Natural language processing with java : explore various approaches to organize and extract useful text from unstructured data using java / › University of West London Library catalogue

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Natural language processing with java : explore various approaches to organize and extract useful text from unstructured data using java / Richard M. Reese.

By: Reese, Richard M [author.]Contributor(s): Bagban, Nadeem N [editor.] | Vernekar, Sonali [editor.] | Chury, Pranjali [editor.] | Phadke, Vikrant [editor.]Material type: Text

TextSeries: Community Experience DistilledCopyright date: ℗♭2015Description: 1 online resource (1 online resource (262 pages)) : illustrations, tablesContent type: text Media type: computer Carrier type: online resourceISBN: 9781784398941 (ebook)Subject(s): Natural language processing (Computer science) | Java (Computer program language) | Computers and IT | Information technology: general issues | Web programmingGenre/Form: Additional physical formats: Print version :: No titleOnline access: Click here to access online Summary: Natural Language Processing (NLP) is an important area of application development and its relevance in addressing contemporary problems will only increase in the future. There has been a significant increase in the demand for natural language-accessible applications supported by NLP tasks. Natural Language Processing with Java will explore how to automatically organize text using approaches such as full-text search, proper name recognition, clustering, tagging, information extraction, and summarization. It covers concepts of NLP that even those of you without a background in statistics or natural language processing can understand.

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Natural Language Processing (NLP) is an important area of application development and its relevance in addressing contemporary problems will only increase in the future. There has been a significant increase in the demand for natural language-accessible applications supported by NLP tasks. Natural Language Processing with Java will explore how to automatically organize text using approaches such as full-text search, proper name recognition, clustering, tagging, information extraction, and summarization. It covers concepts of NLP that even those of you without a background in statistics or natural language processing can understand.