Discovering aspects of online consumer reviews

@article{Suleman2016DiscoveringAO,
  title={Discovering aspects of online consumer reviews},
  author={Kaheer Suleman and Olga Vechtomova},
  journal={J. Information Science},
  year={2016},
  volume={42},
  pages={492-506}
}
In this paper we propose a fully unsupervised approach for product aspect discovery in on-line consumer reviews. We apply a twostep hierarchical clustering process in which we first cluster words representing aspects based on the semantic similarity of their contexts and then on the similarity of the hypernyms of the cluster members. Our approach also includes a method for assigning class labels to each of the clusters. We evaluated our methods on large datasets of restaurant and camera reviews… CONTINUE READING