---
title: "Created a product review summarizer which clustered thousands of product reviews and summarized them into a maximum of 500 characters"
url: https://daily.dev/posts/created-a-product-review-summarizer-which-clustered-thousands-of-product-reviews-and-summarized-them-4b1crz8yo
source_url: https://pythonawesome.com/created-a-product-review-summarizer-which-clustered-thousands-of-product-reviews-and-summarized-them-into-a-maximum-of-500-characters/
type: article
source: "Python Awesome"
published: 2022-01-02T06:51:01.226Z
updated: 2022-01-02T06:51:01.226Z
reading_time: 3
upvotes: 0
comments: 0
language: en
---

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

**[Python Awesome](https://daily.dev/sources/pythonawe)** · 3 min read · 0 upvotes · 0 comments

## Summary

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 ratings and sent to the cosine similarity and pagerank algorithm.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://pythonawesome.com/created-a-product-review-summarizer-which-clustered-thousands-of-product-reviews-and-summarized-them-into-a-maximum-of-500-characters/>

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