Multi-aspect Sentiment Analysis with Topic Models

  title={Multi-aspect Sentiment Analysis with Topic Models},
  author={Bin Lu and Myle Ott and Claire Cardie and Benjamin Ka-Yin T'sou},
  journal={2011 IEEE 11th International Conference on Data Mining Workshops},
We investigate the efficacy of topic model based approaches to two multi-aspect sentiment analysis tasks: multi-aspect sentence labeling and multi-aspect rating prediction. For sentence labeling, we propose a weakly-supervised approach that utilizes only minimal prior knowledge -- in the form of seed words -- to enforce a direct correspondence between topics and aspects. This correspondence is used to label sentences with performance that approaches a fully supervised baseline. For multi-aspect… CONTINUE READING
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