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ECIR
2016
Springer

Feedback or Research: Separating Pre-purchase from Post-purchase Consumer Reviews

4 years 3 months ago
Feedback or Research: Separating Pre-purchase from Post-purchase Consumer Reviews
Consumer reviews provide a wealth of information about products and services that, if properly identified and extracted, could be of immense value to businesses. While classification of reviews according to sentiment polarity has been extensively studied in previous work, more focused types of review analysis are needed to assist companies in making business decisions. In this work, we introduce a novel text classification problem of separating post-purchase from pre-purchase review fragments that can facilitate identification of immediate actionable insights based on the feedback from the customers, who actually purchased and own a product. To address this problem, we propose the features, which are based on the dictionaries and part-of-speech (POS) tags. Experimental results on the publicly available gold standard indicate that the proposed features allow to achieve nearly 75% accuracy for this problem and improve the performance of classifiers relative to using only lexical fea...
Mehedi Hasan, Alexander Kotov, Aravind Mohan, Shiy
Added 02 Apr 2016
Updated 02 Apr 2016
Type Journal
Year 2016
Where ECIR
Authors Mehedi Hasan, Alexander Kotov, Aravind Mohan, Shiyong Lu, Paul M. Stieg
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