ray sukanya (8 risultati)

Condizione: New. pp. 240.

Condizione: New. pp. 240 1st Edition.

Condizione: New. pp. 240.

Taschenbuch. Condizione: Neu. Building Domain Ontologies and Automated Text Categorization | a contribution to NLP | Sukanya Ray (u. a.) | Taschenbuch | 68 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783659203664 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In recent years there has been a massive growth in textual information especially in the internet.While searching for some topic especially some new topic in the internet it will be easier if someone knows the pre-requisites and post-requisites of that topic. Often the topics are found without any proper title and it becomes difficult later on to find which document was for which topic.A text categorization method can provide solution to this problem. Text categorization means assigning an uncategorized document into one or more pre-defined categories.So far researches have focused on using word based representation called Bag-of-Words (BOW) with strong statistical users; some are based on complex NLP representation based on words, phrases, sentences,and word-sense.This book focuses on the construction of domain based ontology so that users can relate to different topics of a domain and an automated text categorization technique based on Term Frequency Inverse Document Frequency (tf -idf) method is proposed that will categorize the uncategorized documents.With this approach user can not only categorize documents but also visualize the relationship among the terms of the document 68 pp. Englisch.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ray SukanyaSukanya Ray is currently associated with a U.S.A based software firm as a developer in 4G LTE technology. She is M.Tech in Computer Science and Engineering from Amity School of Engineering & Technology, Noida affiliated t.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In recent years there has been a massive growth in textual information especially in the internet.While searching for some topic especially some new topic in the internet it will be easier if someone knows the pre-requisites and post-requisites of that topic. Often the topics are found without any proper title and it becomes difficult later on to find which document was for which topic.A text categorization method can provide solution to this problem. Text categorization means assigning an uncategorized document into one or more pre-defined categories.So far researches have focused on using word based representation called Bag-of-Words (BOW) with strong statistical users; some are based on complex NLP representation based on words, phrases, sentences,and word-sense.This book focuses on the construction of domain based ontology so that users can relate to different topics of a domain and an automated text categorization technique based on Term Frequency - Inverse Document Frequency (tf -idf) method is proposed that will categorize the uncategorized documents.With this approach user can not only categorize documents but also visualize the relationship among the terms of the documentVDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 68 pp. Englisch.