Sentiment Dashboard
Mission
▹ Create a full data pipeline for scraping and analysing the sentiment of Amazon product reviews.
▹ Display the findings using a PowerBI dashboard.
Technologies
▹ Libraries: NumPy, Pandas, NLTK, BeautifulSoup, TensorFlow
▹ Skills: Data Scraping, Data Cleaning, Sentiment Analysis, Data Visualisation
Features
▹ Automatic Data Pipeline - just provide a page link!
▹ Keyword frequency chart
▹ Simplistic UI
Outcome
▹ The application had around a 75% success rate when verifying existing individuals. Issues arose for the one-shot verification as the model was prone to overfitting to training data despite data augmentation and cleansing.
▹ Results were improved by storing initial images of target individuals and assigning them to their corresponding usernames and using additional data augmentation techniques.