Topic: customer-reviews Goto Github
Some thing interesting about customer-reviews
Some thing interesting about customer-reviews
customer-reviews,Customer Review Analysis is a prototype open source platform to turn the customer feedbacks in to visualization and extract the trending keywords.
User: arpan65
customer-reviews,This project is part of my Consumer Sentiment Analysis class at Towson University, focusing on evaluating and understanding customer feedback on Spotify. By analyzing customer reviews sourced from Kaggle, we aim to extract insights into user satisfaction and areas of improvement for Spotify.
User: ayushipandeyy
customer-reviews,I developed an application that collects customer reviews automatically from online vendors. This tool's purpose is to get data easily for tasks such as text mining, classification, topic modeling, etc. The application's code is highly adaptable to any website thanks to its functional modularity.
User: bilge-karaca
customer-reviews,Project: Indian Restaurant Website with HTML CSS JavaScript. Created at https://spectra.codes, which is owned by @Drix10
User: coslynx
customer-reviews,Welcome to the Customer Satisfaction Prediction Project repository! This project analyzes customer satisfaction survey to predict whether a customer is satisfied or dissatisfied based on various features. The goal is to gain insights into factors that contribute to passenger satisfaction and to build a predictive model for future.
User: craniace
customer-reviews,Epinions Annotated Reviews Dataset
User: dokooh
customer-reviews,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.
User: easonlai
customer-reviews,
User: fadyabila
Home Page: https://huggingface.co/spaces/fadyabila/Restaurant-Review-Prediction
customer-reviews,Official Fera API ruby SDK gem to make interfacing with your business's reviews easy.
Organization: feracommerce
Home Page: https://developers.fera.ai
customer-reviews,Fera.ai Magento 2 Extension
Organization: feracommerce
customer-reviews,NLP demos and talks made with Jupyter Notebook and reveal.js
User: howard-haowen
Home Page: https://howard-haowen.github.io/NLP-demos/
customer-reviews,This repository includes a web application that is connected to a product recommendation system developed with the comprehensive Amazon Review Data (2018) dataset, consisting of nearly 233.1 million records and occupying approximately 128 gigabytes (GB) of data storage, using MongoDB, PySpark, and Apache Kafka.
User: huzaifakhan04
customer-reviews,This repository showcases the outcomes of an Exploratory Data Analysis (EDA), including visualisation, conducted on the comprehensive Amazon Review Data (2018) dataset, consisting of nearly 233.1 million records and occupying approximately 128 gigabytes (GB) of data storage, using MongoDB and PySpark.
User: huzaifakhan04
customer-reviews,"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.
Organization: hybridlogics
customer-reviews,A tool for analyzing Google Play Store reviews
User: ianovski
customer-reviews,OpenTable Reviews Classification with BERT and Transfer Learning
User: issacchan26
customer-reviews,Case Analysis using ML methods to gain insight into customer reviews.
User: jacobmannix
customer-reviews,A simple design of a Restaurants Menu.
User: jluseno161
Home Page: https://jluseno161.github.io/Anitas-Kitchen/
customer-reviews,this is my repository for Amazon review helpfulness prediction model
User: keisukeirie
customer-reviews,
User: kelvinlam05
customer-reviews,Synchronisation des commandes Thelia 2 vers la plateforme de rรฉcolte d'avis client KingAvis.
User: kevinseebach
customer-reviews,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
User: krishnavpai
customer-reviews,Scraping functions for (1) Amazon customer reviews and (2) product information from best sellers list
User: lhehnke
customer-reviews,Full stack web application for restaurant billing management system
User: mak-3
customer-reviews,NLP: topic modelling using BERTopic + LSA + pLSA + LDA
User: marionchaff
customer-reviews,Big Data Projects
User: rsingh26
customer-reviews,The project aiming to extract product defects and opinions from customer reviews by using text clustering and sentiment analysis.
User: sevcandogramaci
customer-reviews,
User: tasnim31
customer-reviews,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.
User: trang-h-vo
customer-reviews,Analyzed ice cream customer reviews using NLP. Assessed product performance. Built an interactive R Shiny app to allow for tailored insights.
User: tysonpond
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