Customer Review Analysis is a prototype open source platform to turn the customer feedbacks in to visualization and extract the trending keywords.
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Jul 11, 2021 - Jupyter Notebook
#
customer-reviews
Here are 32 public repositories matching this topic...
this is my repository for Amazon review helpfulness prediction model
amazon random-forest product-reviews nlp-machine-learning nmf prediction-model customer-reviews xgboost-model helpful-reviews
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Sep 14, 2017 - Jupyter Notebook
Full stack web application for restaurant billing management system
java sql maven web-application webapp spring-mvc html-css-javascript restaurant-management restaurant-billing-management twilio-sms-api customer-reviews bootstrap5
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May 25, 2023 - JavaScript
Scraping functions for (1) Amazon customer reviews and (2) product information from best sellers list
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Feb 15, 2018 - R
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.
machine-learning mongodb nosql amazon web-application pyspark statistical-inference flask-application supervised-learning als apache-kafka inferential-statistics product-reviews spark-mllib customer-reviews alternating-least-squares amazon-reviews product-recommendations product-recommender-system
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Jun 26, 2023 - Jupyter Notebook
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.
python customer-retention sentiment-analysis azure text-generation python3 openai text-summarization azure-cognitive-services customer-reviews customer-review-categorization customer-review-dataset openai-gpt3 azure-openai
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Feb 14, 2023 - Jupyter Notebook
Epinions Annotated Reviews Dataset
nlp diversity annotations dataset ranking topic-modeling summarization recommender-system aspects customer-reviews topic-model
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Mar 6, 2015
marketing machine-learning r attributes cluster python3 web-scraping beautifulsoup brands correspondence-analysis customer-reviews market-structure-analysis perceptual-map
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Nov 19, 2019 - Jupyter Notebook
A tool for analyzing Google Play Store reviews
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Oct 29, 2020 - Python
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Mar 8, 2018 - Python
OpenTable Reviews Classification with BERT and Transfer Learning
nlp natural-language-processing text-classification web-scraping transfer-learning bert sentiment-classification opentable customer-reviews restaurant-reviews review-classification
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Oct 16, 2023 - Jupyter Notebook
The project aiming to extract product defects and opinions from customer reviews by using text clustering and sentiment analysis.
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Feb 1, 2024 - Jupyter Notebook
Fera.ai Magento 2 Extension
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Dec 20, 2024 - PHP
Big Data Projects
visualization python machine-learning business tutorial hive hadoop sentiment-analysis local machine-learning-algorithms text-analysis pig data-analysis rprogramming customer-reviews
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Jul 6, 2018 - HTML
Official Fera API ruby SDK gem to make interfacing with your business's reviews easy.
ruby rails ruby-gem rubygem magento api-client magento2 shopify reviews user-generated-content wix bigcommerce ugc customer-reviews fera
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Jan 6, 2024 - Ruby
Case Analysis using ML methods to gain insight into customer reviews.
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Oct 14, 2020 - Jupyter Notebook
NLP demos and talks made with Jupyter Notebook and reveal.js
python nlp machine-learning forums sentiment-analysis text-classification text-similarity jupyter-notebook spacy transformer pca-analysis chinese-traditional customer-reviews reavealjs word2vec-embeddinngs tfidf-vectorizer
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Jul 8, 2024 - Jupyter Notebook
"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.
machine-learning firebase rating machine-learning-algorithms reviews wordnet opinions stanford-corenlp stanford-nlp sentimental-analysis sentiwordnet customer-reviews sentic-net
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Oct 17, 2016
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
sentiment-analysis scraping jupyter-notebook wordcloud topic-modeling text-analytics latent-dirichlet-allocation customer-reviews review-analysis review-dataset
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Jun 4, 2023 - Jupyter Notebook
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.
data-science statistics mongodb nosql amazon exploratory-data-analysis eda pyspark statistical-analysis statistical-inference data-visualisation data-analysis inferential-statistics product-reviews customer-reviews amazon-reviews customer-analysis product-analysis
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Jun 26, 2023 - Jupyter Notebook
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