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Update README.md
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ChiaraBi authored Oct 11, 2022
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Expand Up @@ -7,7 +7,7 @@ Natural Language Processing tasks have been widely studied in the context of big
- Short texts contains a limited amount of contextual cues;
- The lack of a unified evaluation framework makes it hard to compare different models.

In this project I am going to use **BERTweet**, a large-scale language model pretrained on English tweets, and I will evaluate its performances on three different NLP tasks:
In this project I used **BERTweet**, a large-scale language model pretrained on English tweets, and I evaluated its performances on three different NLP tasks:

- *Emotion Recognition*, which consists in recognizing the emotion evoked in a text (a tweet in this case);
- *Hate Speech Detection*, which consists in understanding whether a tweet is hateful or not towards certain target communities;
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