An Ontology-Based Opinion Mining Approach for the Financial Domain View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2015

AUTHORS

Juana María Ruiz-Martínez , Rafael Valencia-García , Francisco García-Sánchez

ABSTRACT

Opinion mining is a sub-discipline of computational linguistics that uses information retrieval techniques in order to determine whether a piece of text expresses a positive, negative or neutral opinion. In this paper, we present an approach for the opinion mining of financial news through the process of identifying their semantic polarity. Our approach relies on an algorithm that combines several gazetteer lists and leverages an existing financial ontology. The financial-related news are obtained from RSS feeds and then automatically annotated with positive or negative markers. The outcome of the process is a set of news organized by their degree of positivity and negativity. The preliminary experimental results seem promising as compared against traditional approaches. More... »

PAGES

73-86

Book

TITLE

The Semantic Web: ESWC 2012 Satellite Events

ISBN

978-3-662-46640-7
978-3-662-46641-4

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-662-46641-4_6

DOI

http://dx.doi.org/10.1007/978-3-662-46641-4_6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1011388983


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