@misc{Kim2012,
  abstract = {  Sentiment analysis predicts the presence of positive or negative emotions in a text document. In this paper we consider higher dimensional extensions of the sentiment concept, which represent a richer set of human emotions. Our approach goes beyond previous work in that our model contains a continuous manifold rather than a finite set of human emotions. We investigate the resulting model, compare it to psychological observations, and explore its predictive capabilities. Besides obtaining significant improvements over a baseline without manifold, we are also able to visualize different notions of positive sentiment in different domains. },
  author = {Kim, Seungyeon and Li, Fuxin and Lebanon, Guy and Essa, Irfan},
  interhash = {78c5eda9e1ef2780d70234dc4942203f},
  intrahash = {d169c08d5241a0912f3d60c97d87e2c0},
  note = {cite arxiv:1202.1568Comment: 15 pages, 7 figures},
  title = {Beyond Sentiment: The Manifold of Human Emotions},
  url = {http://arxiv.org/abs/1202.1568},
  year = 2012
}

@article{opinion.review.2010,
  author = {Liu, Bing},
  editor = {Indurkhya, N. and Damerau, F. J.},
  interhash = {d95273d3139fee537a2e08a2fc5b4b38},
  intrahash = {098caba4af7a344db7a62c5d10748727},
  journal = {Handbook of Natural Language Processing},
  title = {Sentiment Analysis and Subjectivity},
  volume = {2nd ed},
  year = 2010
}

@article{Pang2008,
  author = {Pang, Bo and Lee, Lillian},
  date = {July 2008},
  interhash = {7bfd8b20ea5f9fb76e96d71c3155c50c},
  intrahash = {236d4f703fda3dd9457863f28eda56cb},
  isbn = {978-1-60198-150-9},
  journal = {Foundations and Trends® in Information Retrieval},
  number = {1-2},
  pages = {1-135},
  tech = {Now publishers},
  title = {Opinion mining and sentiment analysis},
  url = {http://www.cs.cornell.edu/home/llee/omsa/omsa-published.pdf},
  volume = 2,
  year = 2008
}