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				@ -49,12 +49,17 @@ Resources:
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- [HateBase](https://hatebase.org/) 
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- [Resources and benchmark corpora for hate speech detection: a systematic review](https://link.springer.com/article/10.1007/s10579-020-09502-8) 
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## Meeting 25.4.
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- Learned aboud deep learning lifecycle / evaluation, BERT, RoBERTa, GPT
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- Tried HF transformers, Spacy, NLTK, word embeddings, sentence transformers.
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## Meeting 12.4.
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- Created repositories, empty so far.
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- Tried to replicate the results from "Emotion and sentiment analysis of tweets using BERT" paper  and "Fine-Tuning BERT Based Approach for Multi-Class Sentiment Analysis on Twitter Emotion Data".
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- The experiments are based on BERT (which kind?),  Tweet
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Emotion Intensity. 
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- The experiments are based on BERT (which kind?),  Tweet Emotion Intensity. 
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- Prepared colab notebook with experiments.
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Tasks:
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