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@ -49,12 +49,17 @@ Resources:
- [HateBase](https://hatebase.org/) - [HateBase](https://hatebase.org/)
- [Resources and benchmark corpora for hate speech detection: a systematic review](https://link.springer.com/article/10.1007/s10579-020-09502-8) - [Resources and benchmark corpora for hate speech detection: a systematic review](https://link.springer.com/article/10.1007/s10579-020-09502-8)
## Meeting 25.4.
- Learned aboud deep learning lifecycle / evaluation, BERT, RoBERTa, GPT
- Tried HF transformers, Spacy, NLTK, word embeddings, sentence transformers.
## Meeting 12.4. ## Meeting 12.4.
- Created repositories, empty so far. - Created repositories, empty so far.
- 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". - 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".
- The experiments are based on BERT (which kind?), Tweet - The experiments are based on BERT (which kind?), Tweet Emotion Intensity.
Emotion Intensity.
- Prepared colab notebook with experiments. - Prepared colab notebook with experiments.
Tasks: Tasks: