Finding Mutual Benefit between Subjectivity Analysis and Information Extraction

@article{Wiebe2011FindingMB,
  title={Finding Mutual Benefit between Subjectivity Analysis and Information Extraction},
  author={Janyce Wiebe and Ellen Riloff},
  journal={IEEE Transactions on Affective Computing},
  year={2011},
  volume={2},
  pages={175-191}
}
  • J. Wiebe, E. Riloff
  • Published 2011
  • Computer Science
  • IEEE Transactions on Affective Computing
"Subjectivity analysis” systems automatically identify and extract information relating to attitudes, opinions, and sentiments from text. As more and more people make their opinions available on the Internet and as people increasingly consult the Internet to ascertain other people's opinions about products, political issues, and so on, the demand for effective subjectivity analysis systems continues to grow. Information extraction systems, which automatically identify and extract factual… Expand
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