Adapting Freely Available Resources to Build an Opinion Mining Pipeline in Portuguese
16797Authors
nan
Abstract
AbstractWe present a complete UIMA-based pipeline for sentiment analysis in Portuguese news using freely available resources and a minimal set of manually annotated training data. We obtained good precision on binary classification but concluded that news feed is a challenging environment to detect the extent of opinionated text.
Keywords
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Full Content
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Labeled Text
AbstractWe present a complete UIMA-based pipeline for sentiment analysis in Portuguese news using freely available resources and a minimal set of manually annotated training data. We obtained good precision on binary classification but concluded that news feed is a challenging environment to detect the extent of opinionated text.
Publication Details
- Paper ID:
- 16797
- Year:
- 2014
- Publication:
- TIPSTER
- Publication Type:
- conf
- DOI:
- nan