Update README.md

README.md

@@ -1,3 +1,18 @@
 ---
 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.