Mining Aspect-Specific Opinions from Online Reviews Using a Latent Embedding Structured Topic Model

Mingyang Xu, Ruixin Yang, Paul Jones 0001, Nagiza F. Samatova. Mining Aspect-Specific Opinions from Online Reviews Using a Latent Embedding Structured Topic Model. In Alexander F. Gelbukh, editor, Computational Linguistics and Intelligent Text Processing - 18th International Conference, CICLing 2017, Budapest, Hungary, April 17-23, 2017, Revised Selected Papers, Part II. Volume 10762 of Lecture Notes in Computer Science, pages 195-210, Springer, 2017. [doi]

@inproceedings{XuY0S17,
  title = {Mining Aspect-Specific Opinions from Online Reviews Using a Latent Embedding Structured Topic Model},
  author = {Mingyang Xu and Ruixin Yang and Paul Jones 0001 and Nagiza F. Samatova},
  year = {2017},
  doi = {10.1007/978-3-319-77116-8_15},
  url = {https://doi.org/10.1007/978-3-319-77116-8_15},
  researchr = {https://researchr.org/publication/XuY0S17},
  cites = {0},
  citedby = {0},
  pages = {195-210},
  booktitle = {Computational Linguistics and Intelligent Text Processing - 18th International Conference, CICLing 2017, Budapest, Hungary, April 17-23, 2017, Revised Selected Papers, Part II},
  editor = {Alexander F. Gelbukh},
  volume = {10762},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-77116-8},
}