Classifying movie reviews for sentiment analysis using Nature Language Processing and Out-of-Core Learning
• Built an application for classifying movie reviews for sentiment analysis with an online classifier.
• Utilized Python and SQLite to scrape, clean, and store 50K movie reviews from web.
• Extracted key feature vectors using Natural Language Processing with unigram and TF-IDF.
• Deployed an interactive front-end using Flask, and updated the model using mini-batch gradient descent.