A generic approach to generate opinion lists of phrases for opinion mining applications

Authors:
Sven Rill;Jörg Scheidt;Johannes Drescher;Oliver Schütz;Dirk Reinel;Florian Wogenstein
Affiliations:
University of Applied Sciences, Hof, Germany;University of Applied Sciences, Hof, Germany;University of Applied Sciences, Hof, Germany;University of Applied Sciences, Hof, Germany;University of Applied Sciences, Hof, Germany;University of Applied Sciences, Hof, Germany
Venue:
Proceedings of the First International Workshop on Issues of Sentiment Discovery and Opinion Mining
Year:
2012

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Abstract

In this paper we present an approach to generate lists of opinion bearing phrases with their opinion values in a continuous range between -- 1 and 1. Opinion phrases that are considered include single adjectives as well as adjective-based phrases with an arbitrary number of words. The opinion values are derived from user review titles and star ratings, as both can be regarded as summaries of the user's opinion about the product under review. Phrases are organized in trees with the opinion bearing adjective as tree root. For trees with missing branches, opinion values then can be calculated using trees with similar branches but different roots. An example list is produced and compared to existing opinion lists.