You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: README.md
+2Lines changed: 2 additions & 0 deletions
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -5,6 +5,8 @@ The SFU Opinion and Comments Corpus (SOCC) is a corpus for the analysis of onlin
5
5
6
6
For more information about this work, please see our papers.
7
7
8
+
- Kolhatkar, V., N. Thain, J. Sorensen, L. Dixon and M. Taboada (2023) [Classifying constructive comments](https://firstmonday.org/ojs/index.php/fm/article/view/13163). First Monday 28(4). https://doi.org/10.5210/fm.v28i4.13163
9
+
8
10
- Kolhatkar, V.,H. Wu, L. Cavasso, E. Francis, K. Shukla and M. Taboada (2020) [The SFU Opinion and Comments Corpus: A corpus for the analysis of online news comments](https://link.springer.com/article/10.1007%2Fs41701-019-00065-w). <i>Corpus Pragmatics</i> 4(2), 155-190.
9
11
10
12
- Kolhatkar. V. and M. Taboada (2017) [Using New York Times Picks to identify constructive comments](https://www.aclweb.org/anthology/W17-4218/). [Proceedings of the Workshop Natural Language Processing Meets Journalism](http://nlpj2017.fbk.eu/), Conference on Empirical Methods in Natural Language Processing. Copenhagen. September 2017.
0 commit comments