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

Data Mining on Amazon user reviews for musical instruments

This repository contains code and resources for analyzing Amazon reviews and performing sentinent analysis.

This notebook will show you how to implement a deep leaning algorithm (LSTM) on the Amazon Alexa Reviews dataset

Assignments for MSCI 641: Text Analytics, Spring 2020 at University of Waterloo.

Sentiment analysis of amazon reviews dataset using BERT - model development and deployment

Sentimentally analyze product reviews to predict opinion honesty.

Analysing Amazon customer reviews via Clustering, Visualization and Classification

The public dataset in Hindi language published for paper 28 - AICS2020, Ireland

Performing NLP on Amazon's review on sports and outdoor

Sentiment Analysis using Conv1D and LSTM

Predicting polarity of Amazon user reviews using Deep Learning 🎭

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.

Sentiment analysis of Amazon product reviews using classical machine learning and transformer-based NLP models.

This project aims to create a pipeline-architecture for applying sentiment analysis to reviews on an amazon dataset.

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.