Ontology-Guided Approach to Feature-Based Opinion Mining View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2011

AUTHORS

Isidro Peñalver-Martínez , Rafael Valencia-García , Francisco García-Sánchez

ABSTRACT

The boom of the Social Web has had a tremendous impact on a number of different research topics. In particular, the possibility to extract various kinds of added-value, informational elements from users’ opinions has attracted researchers from the information retrieval and computational linguistics fields. However, current approaches to so-called opinion mining suffer from a series of drawbacks. In this paper we propose an innovative methodology for opinion mining that brings together traditional natural language processing techniques with sentimental analysis processes and Semantic Web technologies. The main goals of this methodology is to improve feature-based opinion mining by employing ontologies in the selection of features and to provide a new method for sentimental analysis based on vector analysis. The preliminary experimental results seem promising as compared against the traditional approaches. More... »

PAGES

193-200

References to SciGraph publications

  • 2009. Ontology Based Opinion Mining for Movie Reviews in KNOWLEDGE SCIENCE, ENGINEERING AND MANAGEMENT
  • 2008. Seeing Several Stars: A Rating Inference Task for a Document Containing Several Evaluation Criteria in ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING
  • 2009. Multi-facet Rating of Product Reviews in ADVANCES IN INFORMATION RETRIEVAL
  • 2010. Semantic Approaches to Fine and Coarse-Grained Feature-Based Opinion Mining in NATURAL LANGUAGE PROCESSING AND INFORMATION SYSTEMS
  • Book

    TITLE

    Natural Language Processing and Information Systems

    ISBN

    978-3-642-22326-6
    978-3-642-22327-3

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-642-22327-3_20

    DOI

    http://dx.doi.org/10.1007/978-3-642-22327-3_20

    DIMENSIONS

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