@inproceedings{brooke1,
   author = "Julian Brooke and Matthew Hurst",
   title = "Patterns in the stream: Exploring the interaction of polarity, topic, and discourse in a large opinion corpus",
   booktitle = "Proceedings of the Conference on Information and Knowledge Management (CIKM), 1st International CIKM Workshop on Topic-Sentiment Analysis for Mass Opinion Measurement",
   pages = "1--8",
   address = "Hong Kong, China",
   month = "November",
   year = "2009",
   abstract = "A qualitative examination of review texts suggests that there are
               consistent patterns to how topic and polarity are expressed in
               discourse. These patterns are visible in the text and paragraph
               structure, topic depth, and polarity flow. In this paper, we
               employ sentence-level sentiment classifiers and a hand-built tree
               ontology to investigate whether these patterns can be
               quantitatively identified in a large corpus of video game
               reviews. Our results indicate that the beginning and the end of
               major textual units (e.g. paragraphs) stand out in the flow of
               texts, showing a concentration of reliable opinion and key topic
               aspects, and that there are other important regularities in the
               expression of opinion and topic relevant to their ordering and
               the discourse markers with which they appear.",
   download = "http://ftp.cs.toronto.edu/pub/gh/Brooke+Hurst-2009.pdf"
}