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
This notebook will show you how to implement a deep leaning algorithm (LSTM) on the Amazon Alexa Reviews dataset
Sentiment analysis of amazon reviews dataset using BERT - model development and deployment
Assignments for MSCI 641: Text Analytics, Spring 2020 at University of Waterloo.
The public dataset in Hindi language published for paper 28 - AICS2020, Ireland
Sentimentally analyze product reviews to predict opinion honesty.
Analysing Amazon customer reviews via Clustering, Visualization and Classification
Performing NLP on Amazon's review on sports and outdoor
Predicting polarity of Amazon user reviews using Deep Learning 🎭
Sentiment Analysis using Conv1D and LSTM
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.
React App in AWS with CI/CD workflow
MapReduce to calculate the Chi-squared value for the Amazon Review Corpus
Sentiment Analysis is the process of determining whether a piece of writing is positive, negative or neutral.
Large Scale Text Classification on Amazon Reviews Corpus
Generating synthetic reviews from real reviews by fine tuning pretrained GPT 2 117M model, followed by few-shot prompting, finally evaluating by BERT classifier.
A simple sentiment analysis using SGD and LinearSVC for Amazon Reviews
Add a description, image, and links to the amazon-review-dataset topic page so that developers can more easily learn about it.
To associate your repository with the amazon-review-dataset topic, visit your repo's landing page and select "manage topics."