Work

Enriching User Reviews Through An Opinion Extraction System

Year: 2015

Type: article

Abstract: Web sites based on User-Generated Content (UGC) have a potentially valuable applicability in a number of fields. In this work we carry out a study of the usefulness of these systems from the point of view of detecting the perception expressed by users about services or items. We have compiled and analyzed opinions shared by users on TripAdvisor focusing on two aspects: the structured and the unstructured data. We perform a quantitative and a qualitative analysis of the information extracted by an opinion extraction system from our dataset, being the last one especially interesting since it provides valuable knowledge about the strong and weak points of hotels according to user perceptions, going beyond the structured data. Finally, we provide a study on the complementarity of the knowledge extracted from both, the textual opinions and the structured data, observing a noticeable increment of the amount of information available with the conjunction of both sources.

Source: Deposito de Investigacion Universidad de Sevilla (University of Seville)

Authors: Francisco Javier Ortega Rodríguez, José A. Troyano, Fermín Cruz Mata, Fernando Enríquez de Salamanca Ros

Language: English

Topic: Sentiment Analysis and Opinion Mining

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: Ministerio de Economía y Competitividad, Ministerio de Ciencia e Innovación, Junta de Andalucía

OpenAlex ID: W1669668878

FWCI: 0.295

Cites: 12

Cited by: 2

Related to: 10