Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
csv
Languages:
Azerbaijani
Size:
100K - 1M
License:
| license: mit | |
| task_categories: | |
| - text-classification | |
| language: | |
| - az | |
| size_categories: | |
| - 100K<n<1M | |
| This dataset contains 150K (train + test) cleaned tweets in Azerbaijani. Tweets were collected in 2021, and filtered and cleaned by following these steps: | |
| - Initial data were collected by using twint library. The tool is currently deprecated, cannot be used with new Twitter. | |
| - On top of the already filtered data, I applied an additional filter to select Azerbaijani tweets with using fastText language identification model. | |
| - Tweets were classified into 3 emotion categories: {positive: 1, negative: -1, neutral: 0} by using emojis as rule-based classifier. | |
| - Tags, usernames, and emojis were later cleaned. | |
| - Short tweets were filtered out. |