Home | Search | All Publications | Authors | About

BibTeX

@InProceedings{Klinger2013,
  author = {Klinger, Roman and Cimiano, Philipp},
  title = {Joint and Pipeline Probabilistic Models for Fine-Grained Sentiment
	Analysis: Extracting Aspects, Subjective Phrases and their Relations},
  booktitle = {2013 IEEE 13th International Conference on Data Mining Workshops
	(ICDMW)},
  year = {2013},
  pages = {937-944},
  month = {Dec},
  doi = {10.1109/ICDMW.2013.13},
  keywords = {data mining;graph theory;inference mechanisms;pattern classification;probability;text
	analysis;IDF;fine-grained sentiment analysis;flexible model;imperatively
	defined factor graphs;joint inference model;opinion mining;pipeline
	architecture;pipeline probabilistic models;relation extraction;subjective
	phrase detection;text classification entity recognition problem;Cameras;Joints;Pipelines;Predictive
	models;Probabilistic logic;Proposals;Training;factorie;fine-grained
	sentiment analysis;imperatively defined factor graphs;information
	extraction;machine learning;probabilistic graphical models},
  pdf = {https://www.romanklinger.de/publications/joint-aspect-subjectivity-with-reference.pdf}
}