├── 01_project_summary.ipynb ├── README.md ├── Twitter Sentiment Analysis Presentation.pdf └── notebooks ├── 01_eda.ipynb ├── 02_text_preprocessing.ipynb ├── 03_baseline_model.ipynb ├── 04_nb_model_01.ipynb ├── 05_nb_model_02.ipynb ├── 06_nb_model_03.ipynb ├── 07_nb_model_04.ipynb ├── 08_nb_model_05.ipynb ├── 09_nb_model_06.ipynb ├── 10_nb_model_07.ipynb ├── 11_smv_model_01.ipynb ├── 12_smv_model_02.ipynb ├── 13_smv_model_03.ipynb ├── 14_emb_model_01.ipynb ├── 15_emb_model_02.ipynb ├── 16_emb_model_02-lemma.ipynb ├── 17_emb_model_03.ipynb ├── 18_emb_model_04.ipynb ├── 19_emb_model_04-lemma.ipynb ├── 20_emb_model_05.ipynb ├── 21_model_performance_summary.ipynb └── evaluation_functions.py /01_project_summary.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/merb92/Twitter-Sentiment-Analysis/HEAD/01_project_summary.ipynb -------------------------------------------------------------------------------- /README.md: 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