Multi-aspect opinion polling from textual reviews

  title={Multi-aspect opinion polling from textual reviews},
  author={Jingbo Zhu and Huizhen Wang and Benjamin Ka-Yin T'sou and Muhua Zhu},
  journal={Proceedings of the 18th ACM conference on Information and knowledge management},
This paper presents an unsupervised approach to aspect-based opinion polling from raw textual reviews without explicit ratings. The key contribution of this paper is three-fold. First, a multi-aspect bootstrapping algorithm is proposed to learn from unlabeled data aspect-related terms of each aspect to be used for aspect identification. Second, an unsupervised segmentation model is proposed to address the challenge of identifying multiple single-aspect units in a multi-aspect sentence. Finally… Expand
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