Mining perceptual maps from consumer reviews
作者:
摘要
Consumer reviews are valuable resources for companies since consumers usually share their using experiences on products or provide useful opinions from various aspects such as different product features. Therefore, in this paper, we propose a method called MPM (mining perceptual map) to automatically build perceptual maps and radar charts from consumer reviews. Perceptual maps and radar charts are business tools widely used in marketing and business analysis. The proposed method may reduce subjective personal bias since perceptual maps and radar charts are mined from a large number of consumer reviews. The analysis results obtained from consumer reviews of smartphones show that the proposed method may provide some practical insights for smartphone companies. Our method can help companies position new products, and formulate effective marketing and competitive strategies.
论文关键词:Sentiment analysis,Opinion mining,Latent Dirichlet allocation,Perceptual map,Radar chart
论文评审过程:Received 17 December 2013, Revised 24 September 2015, Accepted 14 November 2015, Available online 3 December 2015, Version of Record 21 January 2016.
论文官网地址:https://doi.org/10.1016/j.dss.2015.11.002