Datasetpublic

hajili/azerbaijani_tweet_emotion_classification

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:… See the full description on the dataset page: https://huggingface.co/datasets/hajili/azerbaijani_tweet_emotion_classification.

sourceHugging Facemitupdated 3y agoView on Hugging Face

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Dataset Card

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.