Chinese Online Reviews for Tourism Attractions: An Affective Computing System based on Data Mining

Abstract

Based on the excessive online reviews of tourism spot and related research status, this paper attempts to design an affective computing system to provide a comprehensive analysis of affective inclination toward multiple products/services in specific tourism spots, thus transforming complex and unstructured review texts into structured attitudinal information. The designing process consists of three parts: firstly, the author puts forward the framework of affective computing system of online tourism spot reviews based on modular design; secondly, build and modify a feature-oriented domain dictionary through association algorithm for feature mining; thirdly, conduct the mining of adverbs of degree, polarity and negative words grounded on the dependency under syntactic analysis; last of all, come up with the calculation method of online tourism spot reviews’ affective inclination, construct and display the basic affective computing system. Key words: tourism spot; online review; syntactic analysis; feature mining; affective computing