Efficient estimation of aspect weights

Authors:
Jon Parker;Andrew Yates;Nazli Goharian;Wai Gen Yee
Affiliations:
Georgetown University, Washington, DC, USA;Georgetown University, Washington, DC, USA;Georgetown University, Washington, DC, USA;Orbitz Worldwide, Chicago, IL, USA
Venue:
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Year:
2012

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Abstract

Many websites encourage people to submit reviews of various products and services. We present and evaluate a novel approach to efficiently model and analyze the text within user reviews to estimate how much reviewers care about different aspects of a product (i.e., amenities, food, location, room, etc. of a hotel). Our approach performs statistically quite similar to the best existing method. However, our method for computing aspect weights is a linear time method while the current state of the art solution requires cubic time at best.