GitHub - sleepyrob/ta-project: Contains the files of the group project for the "Text analytics" course (A.Y. 2021-22, University of Pisa).

635AA Text Analytics

Implement and compare SVM, LSTM and BERT for a multi-label classification task applied on movies summaries fetched from YTS database.

Document embeddings generation and 2d visualization of movie plots vector for similarities inspection.

Name		Name	Last commit message	Last commit date
Latest commit History 64 Commits
BERT_multi-label_classification.ipynb		BERT_multi-label_classification.ipynb
Dataset_preprocessing.ipynb		Dataset_preprocessing.ipynb
Document_Embeddings.ipynb		Document_Embeddings.ipynb
README.md		README.md
Report_TA_Gasparro_Cannarella.pdf		Report_TA_Gasparro_Cannarella.pdf
SVC_multi-label_classification.ipynb		SVC_multi-label_classification.ipynb
lstm_multi-label_classification.ipynb		lstm_multi-label_classification.ipynb
movie_plots_yts.csv		movie_plots_yts.csv
movies_api_scraping.py		movies_api_scraping.py
movies_kaggle_dataset.txt		movies_kaggle_dataset.txt