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Erschienen in:
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2014 | OriginalPaper | Buchkapitel

3. An Opinion Mining Model for Generic Domains

verfasst von : Franco Tuveri, Manuela Angioni

Erschienen in: Distributed Systems and Applications of Information Filtering and Retrieval

Verlag: Springer Berlin Heidelberg

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Abstract

Online users are talking across social media sites, on public forums and within customer feedback channels about products, services and their experiences, as well as their likes and dislikes. The continuous monitoring of reviews is ever more important in order to identify leading topics and content categories and to understand how those topics and categories are relevant to customers according to their habits. In this context, the chapter proposes an Opinion Mining model to analyze and summarize reviews related to generic categories of products and services. The process, based on a linguistic approach to the analysis of the opinions expressed, includes the extraction of features terms from the reviews in generic domains. It is also capable to determine the positive or negative valence of the identified features exploiting FreeWordNet, a WordNet-based linguistic resource of adjectives and adverbs involved in the whole process.

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Vorheriges Kapitel Predicate Argument Structures for Information Extraction from Dependency Representations: Null Elements are Missing
Nächstes Kapitel Facilitating Collaboration and Information Retrieval: Collaborative Traces Based SWOT Analysis and Implications
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Metadaten
Titel
An Opinion Mining Model for Generic Domains
verfasst von
Franco Tuveri
Manuela Angioni
Copyright-Jahr
2014
Verlag
Springer Berlin Heidelberg
Buch
Distributed Systems and Applications of Information Filtering and Retrieval

Print ISBN: 978-3-642-40620-1

Electronic ISBN: 978-3-642-40621-8

Copyright-Jahr: 2014

DOI
https://doi.org/10.1007/978-3-642-40621-8_3

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