Datasets:

ctoraman
/

BilTweetNews-sentiment-analysis

Tasks:

Text Classification

Modalities:

Formats:

Languages:

Size:

Tags:

sentiment analysis

text classification

Libraries:

License:

Dataset card Viewer Files Files and versions Community

ctoraman commited on Nov 29, 2023

Commit

9eacadd

•

1 Parent(s): b2db9e2

Update README.md

Files changed (1) hide show

README.md +1 -1

README.md CHANGED Viewed

@@ -49,8 +49,8 @@ There are 4 sentiment classes:
 All tweets are labeled by 17 annotators. We provide the normalized distribution of annotations across 4 sentiment classes. We also provide the majority sentiment class at the last column. If there are multiple classes with highest scores, then we set "Multi" as majority.
-****
 # If you would like to use any material in this repository, please cite the following papers:
 - Toraman, C. Early Prediction of Public Reactions to News Events Using Microblogs. Seventh BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2017), Barcelona, Spain, 5 September 2017.

 All tweets are labeled by 17 annotators. We provide the normalized distribution of annotations across 4 sentiment classes. We also provide the majority sentiment class at the last column. If there are multiple classes with highest scores, then we set "Multi" as majority.
+Github Repo: https://github.com/BilkentInformationRetrievalGroup/BilTweetNews2017
 # If you would like to use any material in this repository, please cite the following papers:
 - Toraman, C. Early Prediction of Public Reactions to News Events Using Microblogs. Seventh BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2017), Barcelona, Spain, 5 September 2017.