A basic python 3 based web scraper for extracting reviews from Amazon. Built using Selectorlib and requests
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Updated
Feb 23, 2024 - Python
A basic python 3 based web scraper for extracting reviews from Amazon. Built using Selectorlib and requests
Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.
This project performed sentimental analysis based on opinion words (like good, bad, beautiful, wrong, best, awesome, etc) of selected opinion target ( like product name for amazon product reviews).
Data analytics, exploration, sentiment analysis and topic analysis (LDA) on Amazon customer reviews. And cool interactive plots.
Sentiment Analysis of product based reviews using Machine Learning Approaches. This is my Final Year B.Tech Project, 2018.
π€© Python Package for Scraping Amazon Product Reviews β¨
Abstractive and Extractive summarization of Amazon Reviews. Chrome extension front end
Sentiment analysis on mobile phone reviews on amazon.
To build a recommendation system to recommend products to customers based on the their previous ratings for other products
Implementation of classical SVM and deep Seq-to-Seq LSTM models to analyze and classify sentiment (1-5 scale) on Amazon reviews.
Sentiment Analysis using LSTM model on the smartphone reviews. Which are are scarped from amazon.in .
Amazon Reviews Analysis
Text-Mining-Amazon-Reviews-using-Scrapy. Ever wondered? Life would be easier if there could be ways to know how well your product performs and what do people feel about your product? The Solution -Text Mining Techniques. https://medium.com/@vaitybharati/text-mining-how-to-extract-amazon-reviews-using-scrapy-5bd709cb826c
Performing NLP on Amazon's review on sports and outdoor
Abstractive Text Summarization of Amazon reviews. Using LSTM model summary of full review is abstracted
Vader Versus SVM and Logistic Regression for sentiment analysis
The BERT Product Rating Predictor is a natural language processing model based on the Bidirectional Encoder Representations from Transformers (BERT) model developed to predict star ratings for textual product reviews. 2020.
This project show the data visualisation of AMAZON Review dataset of Cell Phone and Accessories. It also shows the prediction of ratings according to there comments or reviews.
ποΈπ Effortlessly extract Amazon reviews using Python with the amazon-reviews-extraction script. This script makes use of popular Python modules like requests, pandas, bs4, and lxml to scrape and parse HTML content from Amazon product review pages. Simplify your data extraction process and gain valuable insights from customer reviews. ππ
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