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

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

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.

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.

Large Scale Text Classification on Amazon Reviews Corpus

Amazon Reviews Analysis

Apparel-recommendation-engine-Machine-Learning

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

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

Sentiment Analysis is the process of determining whether a piece of writing is positive, negative or neutral.