Joint and Pipeline Probabilistic Models for Fine-Grained Sentiment Analysis: Extracting Aspects, Subjective Phrases and their Relations

Roman Klinger, Philipp Cimiano. Joint and Pipeline Probabilistic Models for Fine-Grained Sentiment Analysis: Extracting Aspects, Subjective Phrases and their Relations. In Wei Ding 0003, Takashi Washio, Hui Xiong, George Karypis, Bhavani M. Thuraisingham, Diane J. Cook, Xindong Wu, editors, 13th IEEE International Conference on Data Mining Workshops, ICDM Workshops, TX, USA, December 7-10, 2013. pages 937-944, IEEE Computer Society, 2013. [doi]

@inproceedings{KlingerC13-0,
  title = {Joint and Pipeline Probabilistic Models for Fine-Grained Sentiment Analysis: Extracting Aspects, Subjective Phrases and their Relations},
  author = {Roman Klinger and Philipp Cimiano},
  year = {2013},
  doi = {10.1109/ICDMW.2013.13},
  url = {http://doi.ieeecomputersociety.org/10.1109/ICDMW.2013.13},
  researchr = {https://researchr.org/publication/KlingerC13-0},
  cites = {0},
  citedby = {0},
  pages = {937-944},
  booktitle = {13th IEEE International Conference on Data Mining Workshops, ICDM Workshops, TX, USA, December 7-10, 2013},
  editor = {Wei Ding 0003 and Takashi Washio and Hui Xiong and George Karypis and Bhavani M. Thuraisingham and Diane J. Cook and Xindong Wu},
  publisher = {IEEE Computer Society},
}