Name
Abstract | ||
|---|---|---|
This paper describes our system created to detect stance in online discussions. The goal is to identify whether the author of a comment is in favor of the given target or against. Our approach is based on a maximum entropy classifier, which uses surface-level, sentiment and domain-specific features. The system was originally developed to detect stance in English tweets. We adapted it to process Czech news commentaries. |
Year | Venue | Field |
|---|---|---|
2017 | arXiv: Computation and Language | Czech,Computer science,Speech recognition,Natural language processing,Artificial intelligence |
DocType | Volume | Citations |
Journal | abs/1701.00504 | 3 |
PageRank | References | Authors |
0.43 | 5 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Peter Krejzl | 1 | 8 | 1.87 |
| Barbora Hourová | 2 | 3 | 0.77 |
| josef steinberger | 3 | 355 | 26.95 |