- Academic Paper: Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews, P.D Turney, July 2002
- Much work has been done in the past on sentiment in product/movie reviews, but these may not transfer to the domain of finance, and some finance domain knowledge is necessary in analysis.
- AFR Titles may tend to be more extreme (sensationalized) in relation to their actual content
- Necessary to find sources of positive/negative related terms, and how well they correlate with the data set/annotations and vise versa.
- May not be able to be done on word frequency count alone (taking out company name, terms such as the, a etc).
- Could use synonym trees to help with the large term set (lexical database such as WordNet)
- Found information on some research done in this area by Sirca
- Interesting abstract and presentation given by C Robertson: "Enabling Sophisticated Financial Text Mining"
Showing posts with label data set. Show all posts
Showing posts with label data set. Show all posts
Tuesday, December 8, 2009
Meeting Minutes
Meeting with Rafael Calvo, Robert Dale
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