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The new method of the keywords determining based on finding the relationships between word forms of the English text is suggested in this paper. Existing approaches to the definition of keywords are characterized. The best quality of text processing is achieved by linguistic methods or when their combinations are statistical. A system for automatically determining keywords from natural language text should be developed using the morphological dictionary and syntax rules. In the framework of the general approach to reducing verbal noise in the method, it is proposed that it is achieved with the help of formalized operations: the replacement of pronouns with the corresponding nouns; removal of noise connections; removing noise words; withdrawal of stop words. The described operations can be used as additional modules that improve the results of finding keywords for both the developed method for determining keywords of English text and other algorithms for finding keywords.
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Keyword Search Based on Lexical Relationships in the Text
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LAP LAMBERT Academic Publishing Mai 2019, 2019
ISBN 10: 6200003149
ISBN 13: 9786200003140
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The new method of the keywords determining based on finding the relationships between word forms of the English text is suggested in this paper. Existing approaches to the definition of keywords are characterized. The best quality of text processing is achieved by linguistic methods or when their combinations are statistical. A system for automatically determining keywords from natural language text should be developed using the morphological dictionary and syntax rules. In the framework of the general approach to reducing verbal noise in the method, it is proposed that it is achieved with the help of formalized operations: the replacement of pronouns with the corresponding nouns; removal of noise connections; removing noise words; withdrawal of stop words. The described operations can be used as additional modules that improve the results of finding keywords for both the developed method for determining keywords of English text and other algorithms for finding keywords. 56 pp. Englisch. Seller Inventory # 9786200003140
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Keyword Search Based on Lexical Relationships in the Text
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ISBN 10: 6200003149
ISBN 13: 9786200003140
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Keyword Search Based on Lexical Relationships in the Text
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ISBN 10: 6200003149
ISBN 13: 9786200003140
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Keyword Search Based on Lexical Relationships in the Text
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ISBN 10: 6200003149
ISBN 13: 9786200003140
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Keyword Search Based on Lexical Relationships in the Text
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ISBN 13: 9786200003140
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Bisikalo OlehOleh Bisikalo, Doctor of Technical Sciences, Dean of the Faculty for Computer Systems and Automation, Professor, Vinnytsia National Technical University, Ukraine. Alexander Yahimovich, Postgraduate Student, Vinnytsia Na. Seller Inventory # 294709437
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Keyword Search Based on Lexical Relationships in the Text
Published by
LAP LAMBERT Academic Publishing Mai 2019, 2019
ISBN 10: 6200003149
ISBN 13: 9786200003140
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Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The new method of the keywords determining based on finding the relationships between word forms of the English text is suggested in this paper. Existing approaches to the definition of keywords are characterized. The best quality of text processing is achieved by linguistic methods or when their combinations are statistical. A system for automatically determining keywords from natural language text should be developed using the morphological dictionary and syntax rules. In the framework of the general approach to reducing verbal noise in the method, it is proposed that it is achieved with the help of formalized operations: the replacement of pronouns with the corresponding nouns; removal of noise connections; removing noise words; withdrawal of stop words. The described operations can be used as additional modules that improve the results of finding keywords for both the developed method for determining keywords of English text and other algorithms for finding keywords.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 56 pp. Englisch. Seller Inventory # 9786200003140
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Keyword Search Based on Lexical Relationships in the Text
Published by
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200003149
ISBN 13: 9786200003140
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The new method of the keywords determining based on finding the relationships between word forms of the English text is suggested in this paper. Existing approaches to the definition of keywords are characterized. The best quality of text processing is achieved by linguistic methods or when their combinations are statistical. A system for automatically determining keywords from natural language text should be developed using the morphological dictionary and syntax rules. In the framework of the general approach to reducing verbal noise in the method, it is proposed that it is achieved with the help of formalized operations: the replacement of pronouns with the corresponding nouns; removal of noise connections; removing noise words; withdrawal of stop words. The described operations can be used as additional modules that improve the results of finding keywords for both the developed method for determining keywords of English text and other algorithms for finding keywords. Seller Inventory # 9786200003140
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Keyword Search Based on Lexical Relationships in the Text
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ISBN 10: 6200003149
ISBN 13: 9786200003140
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Taschenbuch. Condition: Neu. Keyword Search Based on Lexical Relationships in the Text | Oleh Bisikalo (u. a.) | Taschenbuch | 56 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786200003140 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 116809891