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An application of text mining: A practical approach to manage account feedback using text mining algorithms - Couverture souple

 
9783639473230: An application of text mining: A practical approach to manage account feedback using text mining algorithms

Synopsis

The account visit feedback given by account and product managers of a sales department is collected and saved into a database. Besides the basic structure created by the storage in a database, the feedback is free text which contains a lot of abbreviations and spoken language. The concepts of text mining are used to create an editorial tool with the goal to present the information to the analysts in a way that they are able to aggregate it to useful and meaningful phrases. Principles like text tokenization, lemmatization and categorization are explained. Approaches like Document Clustering, Information Retrieval and Information Extraction are consolidated into a general Text Mining model. A practical implementation of this model, including some code snippets in PHP and MySQL, leads to the implementation of an integrated piece of software.

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Présentation de l'éditeur

The account visit feedback given by account and product managers of a sales department is collected and saved into a database. Besides the basic structure created by the storage in a database, the feedback is free text which contains a lot of abbreviations and spoken language. The concepts of text mining are used to create an editorial tool with the goal to present the information to the analysts in a way that they are able to aggregate it to useful and meaningful phrases. Principles like text tokenization, lemmatization and categorization are explained. Approaches like Document Clustering, Information Retrieval and Information Extraction are consolidated into a general Text Mining model. A practical implementation of this model, including some code snippets in PHP and MySQL, leads to the implementation of an integrated piece of software.

Biographie de l'auteur

was born in 1980 in Stuttgart, Germany. He studied Business Information Systems at Hochschule Furtwangen University. For his Thesis he went to work for a global airline in New York, US. Currently, he is working in the IT Services Industry in Zürich, Switzerland.

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Christian Weber
Edité par AV Akademikerverlag, 2013
ISBN 10 : 363947323X ISBN 13 : 9783639473230
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Weber Christianwas born in 1980 in Stuttgart, Germany. He studied Business Information Systems at Hochschule Furtwangen University. For his Thesis he went to work for a global airline in New York, US. Currently, he is working in the . N° de réf. du vendeur 4991207

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Christian Weber
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The account visit feedback given by account and product managers of a sales department is collected and saved into a database. Besides the basic structure created by the storage in a database, the feedback is free text which contains a lot of abbreviations and spoken language. The concepts of text mining are used to create an editorial tool with the goal to present the information to the analysts in a way that they are able to aggregate it to useful and meaningful phrases. Principles like text tokenization, lemmatization and categorization are explained. Approaches like Document Clustering, Information Retrieval and Information Extraction are consolidated into a general Text Mining model. A practical implementation of this model, including some code snippets in PHP and MySQL, leads to the implementation of an integrated piece of software. N° de réf. du vendeur 9783639473230

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Christian Weber
Edité par AV Akademikerverlag Jul 2013, 2013
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The account visit feedback given by account and product managers of a sales department is collected and saved into a database. Besides the basic structure created by the storage in a database, the feedback is free text which contains a lot of abbreviations and spoken language. The concepts of text mining are used to create an editorial tool with the goal to present the information to the analysts in a way that they are able to aggregate it to useful and meaningful phrases. Principles like text tokenization, lemmatization and categorization are explained. Approaches like Document Clustering, Information Retrieval and Information Extraction are consolidated into a general Text Mining model. A practical implementation of this model, including some code snippets in PHP and MySQL, leads to the implementation of an integrated piece of software. 108 pp. Englisch. N° de réf. du vendeur 9783639473230

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Christian Weber
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The account visit feedback given by account and product managers of a sales department is collected and saved into a database. Besides the basic structure created by the storage in a database, the feedback is free text which contains a lot of abbreviations and spoken language. The concepts of text mining are used to create an editorial tool with the goal to present the information to the analysts in a way that they are able to aggregate it to useful and meaningful phrases. Principles like text tokenization, lemmatization and categorization are explained. Approaches like Document Clustering, Information Retrieval and Information Extraction are consolidated into a general Text Mining model. A practical implementation of this model, including some code snippets in PHP and MySQL, leads to the implementation of an integrated piece of software.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 108 pp. Englisch. N° de réf. du vendeur 9783639473230

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Weber, Christian
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paperback. Etat : New. New. book. N° de réf. du vendeur ERICA829363947323X6

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