The project implements logistic regression to classify negative and positive feedbacks (IMDb dataset).
The research (pdf files a2.pdf and research.pdf) were created as part of the theoretical and research part of the task, which is represented in the file Assignment2_v2019_2_Sentiment_analysis_using_logistic_regression (1).pdf
classifier_lr.py
classifier_best.py is a classifier with the best score
Best score on the train set: 88.064% precision.
Best score on the test set: 66.550% precision
Contest: http://92.63.96.33/c/fall2020_ilimdb_sentiment_a2/description