Automatically Determining Attitude Type and Force for Sentiment Analysis

Authors

Shlomo Argamon, Touro UniversityFollow
Kenneth Bloom
Andrea Esuli
Fabrizio Sebastiani
Zygmunt Vetulani
Hans Uszkoreit

Roles

Author

Document Type

Conference Proceeding

Publication Date

1-1-2009

Journal Title

Human Language Technology. Challenges of the Information Society, Berlin, Heidelberg

DOI

10.1007/978-3-642-04235-5_19

Recommended Citation

Argamon, S., Bloom, K., Esuli, A., Sebastiani, F., Vetulani, Z., & Uszkoreit, H. (2009). Automatically Determining Attitude Type and Force for Sentiment Analysis. Human Language Technology. Challenges of the Information Society, Berlin, Heidelberg, 218-231. https://doi.org/10.1007/978-3-642-04235-5_19