Multi-aspects Review Summarization Based on Identification of Important Opinions and their Similarity

@inproceedings{Tadano2010MultiaspectsRS,
  title={Multi-aspects Review Summarization Based on Identification of Important Opinions and their Similarity},
  author={Ryosuke Tadano and Kazutaka Shimada and Tsutomu Endo},
  booktitle={PACLIC},
  year={2010}
}
The development of the Web services lets many users easily provide their opinions recently. Automatic summarization of enormous sentiments has been expected. Intuitively, we can summarize a review with traditional document summarization methods. However, such methods have not well-discussed “aspects”. Basically, a review consists of sentiments with various aspects. We summarize reviews for each aspect so that the summary presents information without biasing to a specific topic. In this paper… CONTINUE READING