Preprocessing in -> preprocessing.ipynb
final model file in -> snetiment_analzyer.zip
model training in -> model_training_senti.ipynb
Project report in -> Report.pdf
Dataset used -> Senti140 Dataset (kaggle link - https://www.kaggle.com/datasets/kazanova/sentiment140)
How to use -> how_to_setup_model.ipynb
Flask app -> /Flask-Application
Video Demo available at -> https://youtu.be/Wj2Oa6Sn5lw (title : Demo For SBInternz Project )
Advait Deochakke - 20BCE1143
Vedant Bisen - 20BLC1044
Kshitija Srivastava - 20BLC1075
Should all be in their respective folders, eg. /Advait_Deochakke_Assignments
• preprocess_dataset exists in both .csv and .zip for convenience, I need to delete one of them later. Probably the .csv
• senti_training_final.pdf is the colab notebook exported out, I had the 12.1 cuda locally and cba to get keras compatible one (used torch nightly earlier)
• keras_test.ipynb is the file which I was originally doint the above in, before I realized 3 hours had passed and I was halfway through first iter (there just for evidence, redudnant in reality)