Created a product review summarizer which clustered thousands of product reviews and summarized them into a maximum of 500 characters

The project has three .ipynb files – Data Scraper, cosine-similarity-wo-tf-idf, and Cosine-Similarity-w-TF-idF. It will scrape the product name, review title, star rating, and the review body from each page, until the last page is encountered, and save it in .xlsx format. The pre-processed data is then grouped based on star Show more