Epinions Annotated Reviews Dataset

"ProLyzer" is a system which will guide you about the product you want to buy and also help the manufacturer/sellers to know the public opinion about their product's features.

this is my repository for Amazon review helpfulness prediction model

Scraping functions for (1) Amazon customer reviews and (2) product information from best sellers list

Big Data Projects

Case Analysis using ML methods to gain insight into customer reviews.

A tool for analyzing Google Play Store reviews

Synchronisation des commandes Thelia 2 vers la plateforme de récolte d'avis client KingAvis.

A simple design of a Restaurants Menu.

Analyzed ice cream customer reviews using NLP. Assessed product performance. Built an interactive R Shiny app to allow for tailored insights.

Customer Review Analysis is a prototype open source platform to turn the customer feedbacks in to visualization and extract the trending keywords.

This project uses data from Olist - a Brazilian e-commerce platform to predict customer's review scores. The full Python code is presented in 3 steps: data preprocessing, EDA & modeling, followed by a Tableau Dashboard on customer ratings.

The project aiming to extract product defects and opinions from customer reviews by using text clustering and sentiment analysis.

This demo repository demonstrates how to analyze customer reviews with Azure OpenAI Service (AOAI). I leveraged "ASOS Customer Review" from Kaggle to obtain valuable insight from the customer review content.

Full stack web application for restaurant billing management system

This project aims to analyze consumer sentiment towards (FMCG) company products by scraping reviews & performing text analysis using Python. By leveraging NLP techniques, such as sentiment analysis, word cloud and topic modelling. The results of this study can inform product development, marketing strategies & overall business decision-making