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Springer Opinion Mining im Web 2.0: Ansätze, Methoden, Vorgehensmodell

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Description

In diesem Buch werden die Grundlagen des Opinion Minings dargestellt sowie mögliche Ansätze, Methoden und Algorithmen aus den Bereichen Text Mining, linguistische Algorithmen, semantische Technologien und Information Retrieval aufgezeigt. Beim Opinion Mining geht es darum, textuell vorliegende Meinungen von Menschen zu analysieren und ihre Einstellung zu Produkten, Marken, Organisationen, Personen oder ganz allgemein zu Themen auszuwerten. From the Back Cover In diesem Buch werden die Grundlagen des Opinion Minings dargestellt sowie mögliche Ansätze, Methoden und Algorithmen aus den Bereichen Text Mining, linguistische Algorithmen, semantische Technologien und Information Retrieval aufgezeigt. Beim Opinion Mining geht es darum, textuell vorliegende Meinungen von Menschen zu analysieren und ihre Einstellung zu Produkten, Marken, Organisationen, Personen oder ganz allgemein zu Themen auszuwerten. Der Inhalt • Opinion Mining – Grundlagen und Stand der Forschung • Web 2.0-Quellen für das Opinion Mining • Methoden und Algorithmen für Opinion Mining Die Zielgruppen • Dozierende, Studierende und Praktiker der Fachgebiete Informatik und Machine Learning Der Autor Dr. Gerald Petz ist Leiter des Studiengangs „Marketing und Electronic Business“ an der FH Oberösterreich, Campus Steyr. Seine Forschungsschwerpunkte sind Opinion Mining, Web Mining, Named Entity Linking und E-Commerce. About the Author Dr. Gerald Petz ist Leiter des Studiengangs „Marketing und Electronic Business“ an der FH Oberösterreich, Campus Steyr. Seine Forschungsschwerpunkte sind Opinion Mining, Web Mining, Named Entity Linking und E-Commerce.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
15 October 2018
Listed Since
27 September 2018

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