Abstract
A closer look at how users perform search is needed in order to best design a more efficient next generation sentiment search engine and understand fundamental behaviours involved in online review/opinion search processes. The paper proposes utilizing personalized search, eye tracking and sentiment analysis for better understanding of end-user behavioural characteristics while making a judgement in a Sentiment Search Engine. © 2013 Springer-Verlag.
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Das, A., & Gambäck, B. (2013). Sentimental eyes! In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8008 LNCS, pp. 310–318). https://doi.org/10.1007/978-3-642-39342-6_34
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