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

Data Mining on Amazon user reviews for musical instruments

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

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

Performing NLP on Amazon's review on sports and outdoor

Analysing Amazon customer reviews via Clustering, Visualization and Classification

Sentimentally analyze product reviews to predict opinion honesty.

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

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

Sentiment Analysis using Conv1D and LSTM

Predicting polarity of Amazon user reviews using Deep Learning 🎭

A simple sentiment analysis using SGD and LinearSVC for Amazon Reviews

Generating synthetic reviews from real reviews by fine tuning pretrained GPT 2 117M model, followed by few-shot prompting, finally evaluating by BERT classifier.

Amazon Reviews Analysis

Apparel-recommendation-engine-Machine-Learning

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

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.