Features Mining and Analysis of Smart Bracelet Based on Online Reviews
Huiying Gao, Tian Wei, Shuxin Yang · DEStech Transactions on Computer Science and Engineering · 2017
As the basis of review analysis, product feature mining is a prerequisite to sentiment analysis. We aim to construct a relatively complete set of semantic features for a kind of wearable smart devices. Firstly, we mined features based on reviews using the association rules and word frequency statistics. Then combining the semantic knowledge and a feature set extracted from the product specification, we completed the improvement and extension of the feature set of smart bracelet. Finally, using the excavated features, we analyzed concerns of a selected smart bracelet. The results of this paper can be used as the basic work for the review mining of smart bracelet, and the analysis of concerns can help to guide businesses to improve products performance and service.