Combining Textual Pre-game Reports and Statistical Data for Predicting Success in the National Hockey League

@inproceedings{Weissbock2014CombiningTP,
  title={Combining Textual Pre-game Reports and Statistical Data for Predicting Success in the National Hockey League},
  author={Josh Weissbock and Diana Inkpen},
  booktitle={Canadian Conference on AI},
  year={2014}
}
In this paper, we create meta-classifiers to forecast success in the National Hockey League. We combine three classifiers that use various types of information. The first one uses as features numerical data and statistics collected during previous games. The last two classifiers use pre-game textual reports: one classifier uses words as features (unigrams, bigrams and trigrams) in order to detect the main ideas expressed in the texts and the second one uses features based on counts of positive… CONTINUE READING
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