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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: | ||||||
|  | |||||||
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