Sentiment analysis using different machine learning algorithms
Sentiment analysis on Amazon Fine Food reviews. Implements data preprocessing, text processing, VADER model sentiment scoring, encoding sentiment scores and sentiment categorie scores,this is first part.
And finally run Random Forests, XGBoost, CatBoost. Implements ML steps, hyperparametre tuning, count and tf-idf vectorizers, exporting vectorizers(mtx files), exporting models(joblib files), take accuracy scores.
=> Dataset <= https://www.kaggle.com/datasets/snap/amazon-fine-food-reviews
=> Part 2(Web Scraping) <=