There are 3 repositories under amazon-review-dataset topic.
Sentiment Analysis on the Amazon Reviews Dataset using BERT-based transfer learning approach.
To build a recommendation system to recommend products to customers based on the their previous ratings for other products
Rate Prediction using Amazon Review Dataset and Deep Learning
This repository contains code and resources for analyzing Amazon reviews and performing sentinent analysis.
Data Mining on Amazon user reviews for musical instruments
Analysing Amazon customer reviews via Clustering, Visualization and Classification
The public dataset in Hindi language published for paper 28 - AICS2020, Ireland
Sentiment analysis of amazon reviews dataset using BERT - model development and deployment
Performing NLP on Amazon's review on sports and outdoor
Sentimentally analyze product reviews to predict opinion honesty.
Assignments for MSCI 641: Text Analytics, Spring 2020 at University of Waterloo.
This notebook will show you how to implement a deep leaning algorithm (LSTM) on the Amazon Alexa Reviews dataset
Generating synthetic reviews from real reviews by fine tuning pretrained GPT 2 117M model, followed by few-shot prompting, finally evaluating by BERT classifier.
React App in AWS with CI/CD workflow
Projet d'Exploration et Analyse de Données (EDA) sur la catégorie Sports and Outdoors du dataset Amazon. Analyse des motifs fréquents, extraction de motifs à forte utilité et découverte de groupes d'utilisateurs via les algorithmes MOMRI.
Sentiment Analysis is the process of determining whether a piece of writing is positive, negative or neutral.
Sentiment Analysis using Conv1D and LSTM
A simple sentiment analysis using SGD and LinearSVC for Amazon Reviews
Amazon Reviews Analysis
MapReduce to calculate the Chi-squared value for the Amazon Review Corpus
Predicting polarity of Amazon user reviews using Deep Learning 🎭
Apparel-recommendation-engine-Machine-Learning
Large Scale Text Classification on Amazon Reviews Corpus