Abstract
We present a prototype system, code-named Pulse, for mining topics and sentiment orientation jointly from free text customer feedback. We describe the application of the prototype system to a database of car reviews, Pulse enables the exploration of large quantities of customer free text. The user can examine customer opinion "at a glance" or explore the data at a finer level of detail, We describe a simple but effective technique for clustering sentences, the application of a bootstrapping approach to sentiment classification, and a novel user-interface. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Gamon, M., Aue, A., Corston-Oliver, S., & Ringger, E. (2005). Pulse: Mining customer opinions from free text. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3646 LNCS, pp. 121–132). Springer Verlag. https://doi.org/10.1007/11552253_12
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