Abstract
Inspired by the lexical approach used by psychologists to study personality traits, this paper proposes a revised version of this approach for analyzing online reviews. The lexical approach is based on a lexical hypothesis stating that personality traits are reflected in the adjectives invented by people to describe them. The revised lexical approach contains five steps: collecting online reviews, parsing adjectives, extracting consumer/user observations, factor analysis, and exploring factors/patterns. The paper elaborates each of these steps. It further discusses implications of this new approach. © 2014 Springer International Publishing.
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CITATION STYLE
Fang, X., & Zhao, F. (2014). A revised lexical approach for analyzing online reviews. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8510 LNCS, pp. 69–76). Springer Verlag. https://doi.org/10.1007/978-3-319-07233-3_7
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