We will have a look at a generalized variant of frequent tree pattern mining where each pattern's instances don't need to match exactly, but rather have to be "similar enough", where similarity is measured with the help of a taxonomy of node labels.
We will then apply the approach to discovering article templates for a set of related articles (e.g. news articles on bombings; or wikipedia biographies of physicists).
Thursday, 23.12.2010, 13:00, Orange room
2010-12-14
Andreea Bizau: Determining Adjective Semantic Orientation. The beginnings of TweetMDb
This Thursday, Andreea Bizau will present her work on sentiment mining, focused on constructing a map of interesting adjectives, related to expressing sentiment orientation in social media.
Abstract:
There is a huge volume of user-generated content expressing sentiments, preferences, opinions. We are interested in how people express opinions in a certain domain (e.g. movies) and how can opinion indicators determined from one opinion source (reviews) be used to analyze another opinion source (twitter)?
Thursday, 16.12.2010, 13:00, Orange room
Abstract:
There is a huge volume of user-generated content expressing sentiments, preferences, opinions. We are interested in how people express opinions in a certain domain (e.g. movies) and how can opinion indicators determined from one opinion source (reviews) be used to analyze another opinion source (twitter)?
Thursday, 16.12.2010, 13:00, Orange room
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