Online customer reviews exist widely on e-commerce websites. Customer concerns and preferences about products are involved in these reviews. It is critical for business professionals to analyze online reviews efficiently and effectively in the fierce market competition. Typically, the quality analysis of online reviews is a good example. Accordingly, two aspects of features are identified from online reviews, and a Co-training algorithm is built to analyze quality of online reviews. Effectiveness of the algorithm and its advantages over a single classification/regression algorithm is confirmed by experiments.
JIN Jian1,2, JI Ping2,3
. Co-training Algorithm for Quality Analysis of Online Customer Reviews[J]. Journal of Shanghai University, 2014
, 20(3)
: 289
-295
.
DOI: 10.3969/j.issn.1007-2861.2014.02.013
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