Datasets:
Tasks:
Text Classification
Modalities:
Text
Sub-tasks:
sentiment-classification
Languages:
English
Size:
10K - 100K
ArXiv:
License:
Update README.md
Browse files
README.md
CHANGED
|
@@ -18,7 +18,7 @@ pretty_name: TweetTopicSingle
|
|
| 18 |
|
| 19 |
## Dataset Description
|
| 20 |
|
| 21 |
-
- **Paper:**
|
| 22 |
- **Dataset:** Tweet Topic Dataset
|
| 23 |
- **Domain:** Twitter
|
| 24 |
- **Number of Class:** 6
|
|
@@ -83,5 +83,18 @@ For the random split, we recommend to train models on `random_train` with `rando
|
|
| 83 |
### Citation Information
|
| 84 |
|
| 85 |
```
|
| 86 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 87 |
```
|
|
|
|
| 18 |
|
| 19 |
## Dataset Description
|
| 20 |
|
| 21 |
+
- **Paper:** [https://arxiv.org/abs/2209.09824](https://arxiv.org/abs/2209.09824)
|
| 22 |
- **Dataset:** Tweet Topic Dataset
|
| 23 |
- **Domain:** Twitter
|
| 24 |
- **Number of Class:** 6
|
|
|
|
| 83 |
### Citation Information
|
| 84 |
|
| 85 |
```
|
| 86 |
+
@inproceedings{dimosthenis-etal-2022-twitter,
|
| 87 |
+
title = "{T}witter {T}opic {C}lassification",
|
| 88 |
+
author = "Antypas, Dimosthenis and
|
| 89 |
+
Ushio, Asahi and
|
| 90 |
+
Camacho-Collados, Jose and
|
| 91 |
+
Neves, Leonardo and
|
| 92 |
+
Silva, Vitor and
|
| 93 |
+
Barbieri, Francesco",
|
| 94 |
+
booktitle = "Proceedings of the 29th International Conference on Computational Linguistics",
|
| 95 |
+
month = oct,
|
| 96 |
+
year = "2022",
|
| 97 |
+
address = "Gyeongju, Republic of Korea",
|
| 98 |
+
publisher = "International Committee on Computational Linguistics"
|
| 99 |
+
}
|
| 100 |
```
|