UniSent: Universal adaptable sentiment lexica for 1000+ languages
- Ehsaneddin Asgari*
- , Fabienne Braune
- , Benjamin Roth
- , Christoph Ringlstetter
- , Mohammad R.K. Mofrad
*Corresponding author for this work
- Department of Bioengineering
- Volkswagen AG
- Center for Information and Language Processing
- Lawrence Berkeley National Laboratory
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
8
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(Scopus)