product-reviews

There are 3 repositories under product-reviews topic.

• sudheer-ranga / aliexpress-product-scraper

  Get Aliexpress product details as a json response including feedbacks, variants, shipping info, description, images, etc.,

  aliexpressaliexpress-crawleraliexpress-spideraliexpress-apidropshipdropshippingaliexpress-scraperproduct-reviewsaliexpress-product-scraperaliexpress-product-jsonproduct-scraperproduct-jsonscrapercrawlerspiderhacktoberfesthacktoberfest2019hacktoberfest19
  Language:JavaScript 198

• vishwassathish / Sentiment-Analysis-for-product-reviews

  Sentiment Analysis using LSTM cells on Recurrent Networks. GloVe word embeddings were used for vector representation of words. Amazon Product Reviews were used as Dataset.

  deep-learningnlpglove-embeddingssentiment-analysisproduct-reviewsgloveembeddingsglove-datasetamazon-product-review
  Language:Python 24

• pranitbose / sentiment-analysis

  Sentiment Analysis of product based reviews using Machine Learning Approaches. This is my Final Year B.Tech Project, 2018.

  pyhton3machine-learningsentimental-analysissentiment-classificationproduct-reviewsnltkanaconda-distributionamazon-reviewsscikitlearn-machine-learning
  Language:Python 22

• huangjunjie-cs / SBGNN

  source code for signed bipartite graph neural networks(CIKM 2021)

  graph-neural-networkspeer-reviewsproduct-reviewssigned-graphvote-prediction
  Language:Python 17

• sismetanin / rureviews

  An automatically annotated sentiment analysis dataset of product reviews in Russian.

  sentiment-analysis-datasetsentiment-analysisdatasetproduct-reviews
  14

• shivananda199 / Fake-Product-Review-Monitoring-and-Product-Evaluation-using-Opinion-Mining

  The system deletes fake reviews on products and rates a product automatically based on customer reviews

  phpxamppdata-miningopinion-miningsentiment-analysisonline-shopwebsitemysqlproduct-reviewsrating-stars
  Language:PHP 13

• keisukeirie / Amazon_review_helpfulness_prediction

  this is my repository for Amazon review helpfulness prediction model

  prediction-modelcustomer-reviewshelpful-reviewsamazonxgboost-modelrandom-forestnmfnlp-machine-learningproduct-reviews
  Language:Jupyter Notebook 11

• liquidweb / woo-better-reviews

  Like reviews, only way better.

  woocommercewoocommerce-pluginproduct-reviews
  Language:PHP 11

• rushabhkela / EZ-Shopping

  This is a multi - vendor e - commerce website. Built with all cool features, wide range of products, invoice generations, vendor and admin portals, online payments and much more!

  e-commercemulti-vendor-ecommerceadmin-portalinvoiceproductsnodejsmongodbbootstrap5razorpay-apicloudinary-sdkproduct-reviewscouponsfully-featured-online-shopping
  Language:Handlebars 10

• kbuschme / irony-detection

  System for irony detection in product reviews

  ironysarcasmirony-detectionsarcasm-detectionproduct-reviewsmachine-learningnatural-language-processing
  Language:Python 9

• Arjun-Mota / amazon-product-reviews-sentiment-analysis

  Sentiment analysis on product reviews with identification of most reviewed products from Amazon product reviews dataset consists of 35000 reviews.

  jupyter-notebookreviewed-productsamazonamazon-datasetidentificationpythonproduct-reviewshuggingface-transformersentiment-analysis
  Language:Jupyter Notebook 7

• jbenasuli / consumer_behavior

  Using Machine Learning to Analyze & Visualize Consumer Behavior

  analysiscustomer-feedbackcustomer-segmentationproduct-reviews
  Language:Jupyter Notebook 7

• landofcoder / module-product-reviews

  Creating customers an excellent product experience will lead to compliments, where powerful mouth-of-word was born to improve your sales performance. Reviews are also the type of “mouth-of-word” in the Net in order to test product’s quality.

  advanced-reviewsmagento2-modulemagento2-product-reviewsproduct-reviews
  Language:PHP 7

• PeCrio / product-review-and-management-demo-app

  A customer feedback demo application for collecting reviews for a product after a successful purchase.

  analysischakra-uichartjscustomer-feedbackcypressnextjsproduct-reviewsreactjsresponsive-web-designtddtypescript
  Language:TypeScript 7

• jinwangjoshua / Opinio-Extraction

  Opinion Extraction based on Amazon Reviews

  deeplearningecommercenlpopinion-extractionproduct-reviewsreviewwordembeddings
  Language:Jupyter Notebook 5

• episerver / SocialQuicksilver

  Reference implementation of product reviews using Episerver Social

  cmscommentsepiserverepiserver-cmsepiserver-commerceepiserver-socialproduct-reviewsratingssocialugcuser-generated-content
  Language:JavaScript 3

• huzaifakhan04 / amazon-product-recommendation-system-web-application-using-mongodb-pyspark-and-apache-kafka

  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.

  alsalternating-least-squaresamazonamazon-reviewsapache-kafkacustomer-reviewsflask-applicationinferential-statisticsmachine-learningmongodbnosqlproduct-recommendationsproduct-recommender-systemproduct-reviewspysparkspark-mllibstatistical-inferencesupervised-learningweb-application
  Language:Jupyter Notebook 3

• mageplaza / magento-2-better-product-reviews-graphql

  Magento 2 Better Product Reviews GraphQL is now a part of the Mageplaza Better Product Reviews extension that adds GraphQL features. This is helpful for PWA compatibility. The module provides type and resolver information for the GraphQl module to generate catalog review information endpoints.

  product-reviewsgraphqlmageplazamagentomagento-installationpwa
  Language:PHP 3

• Chandrakant817 / Flipkart-Review-Scraper-Project

  Review Scraper Project implemented using Python.

  applicationflaskmodular-codeproduct-reviewspythonreview-scraper
  Language:CSS 2

• feracommerce / magento2_extension

  Fera.ai Magento 2 Extension

  customer-reviewsmagentomagento2magento2-extensionmagento2-moduleproduct-reviewsreviews
  Language:PHP 2

• hemantsaini-7 / E-Shop

  A Full Stack E-Commerce Application developed using MERN Stack deployed on Heroku. Backend is functional with Admin & Protect Middleware for access Protected Routes. Frontend Centralized with Redux Store.

  product-reviewsproduct-paginationshippingratingspaypalmark-orderspaymentdatabase-seedercredit-card
  Language:JavaScript 2

• manishjoy / module-productreviewrestriction

  Magento 2 Extension to restrict addition of product review to those customers who purchased the product | Manish Joy

  magentomagento2-modulemagento2-extensionmagento-extensionmagento2magento2-extension-freereview-toolsproduct-reviews
  Language:PHP 2

• rudrakshsyal / Amazon-Auto-parts-Textual-Analysis-with--RShiny-Web-Application

  We employ a text content analysis framework that has been successful in other studies to identify important features of automobile service parts

  amazonassortment-planningautopartscontent-analysisfitpriceproduct-reviewsqualityrrshinysentiment-analysisshinyapptext-analysisvendorweb-application
  Language:R 2

• yinfeiy / review_helpfulness

  helpfulness prediction online product review

  product-reviewshelpfulnesssentiment
  Language:Python 2

• aCh30 / machine_learning

  Implementation of machine Learning algorithms to perform analysis like- Predictive and Sentiment analysis.

  machine-learningpythonartificial-intelligencenatural-language-processingsentiment-analysislinear-regressionproduct-reviewspredictive-analytics
  Language:Python 1

• AjNavneet / Ranking_SentimentAnalysis_ProductReviews

  Sentiment analysis model for ranking product reviews, highlighting the most relevant ones while pushing down less relevant or irrelevant reviews using pairwise ranking.

  nlppair-wiseproduct-reviewsranking-algorithmsentiment-analysis
  Language:Jupyter Notebook 1

• Ambikaa-Jaggi / review_dataset_analysis

  Using a product review dataset to 1. create a chatbot that conducts analysis on command, 2. create predictive models to construct a consumer chatbot to enhance the review giving process and 3. Use feature engineering to extract aspects or unique and most relevant feedback from positive and negative reviews

  natural-language-processingchatbotfeature-engineeringpythonclassificationproduct-reviews
  Language:Python 1

• hardikasnani / sentiment-analysis-leveraging-lstm

  I built Sentiment Analysis models leveraging a deep learning approach utilizing the customer reviews of Amazon products. Since Long Short Term Memory Network (LSTM) is very effective in dealing with long sequence data and learning long-term dependencies, I used it for automatic sentiment classification of future product reviews.

  amazonlstmsentiment-analysisclass-weightsgloveoversamplepaddingproduct-reviewsrecalltokenizationword-embeddingssmotenatural-language-processingkerassklearntensorflow
  Language:Jupyter Notebook 1

• Hitstar53 / AI-product-reviewer

  AI product reviewer - Mini Project sem IV CE

  aidjangoproduct-reviewsreactsentiment-analysis
  Language:CSS 1

• mdtawseef / OSTAAPP

  A web application to share reviews on services and products by consumers. Here consumers could post, search and read reviews in an organized and optimized way. It was helpful to get an insight over a service or product before availing it. It was a part of a citizen involvement experiment. We tested the application at the campus of LUT, FInland.

  crowdsourcingcustomer-serviceproduct-reviews
  Language:PHP 1

• ozgekervan / Turkish-Online-Customer-Reviews-Dataset

  This dataset of online customer reviews in Turkish has been prepared for academic use.

  nlpsentimentclassificationdeep-learningecommerceproduct-reviewsreviewsentiment-analysis
  1

• shanuhalli / Assignment-Text-Mining

  Perform sentimental analysis on the Elon-musk tweets and Extract reviews of any product from ecommerce website like amazon, Perform emotion mining.

  assignment-11beautifulsoupcount-vectorizerfeature-extractionlemmatizationn-gramnamed-entity-recognitionnlppos-taggingregular-expressionsentiment-analysisstopwordstext-blobtext-preprocessingtf-idftokenizerweb-scrapingword-cloudproduct-reviewstext-mining
  Language:Jupyter Notebook 1

• vaitybharati / Assignment-11-Text-Mining-Amazon-Reviews-using-Scrapy

  Text-Mining-Amazon-Reviews-using-Scrapy. Ever wondered? Life would be easier if there could be ways to know how well your product performs and what do people feel about your product? The Solution -Text Mining Techniques. https://medium.com/@vaitybharati/text-mining-how-to-extract-amazon-reviews-using-scrapy-5bd709cb826c

  text-miningnlp-machine-learningamazon-reviewsscrapy-spiderscrapyproduct-reviewsdata-extractionscrape-amazon-reviews
  Language:Jupyter Notebook 1

• huzaifakhan04 / exploratory-data-analysis-on-amazon-review-data-using-mongodb-and-pyspark

  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.

  amazonamazon-reviewscustomer-analysiscustomer-reviewsdata-analysisdata-sciencedata-visualisationedaexploratory-data-analysisinferential-statisticsmongodbnosqlproduct-analysisproduct-reviewspysparkstatistical-analysisstatistical-inferencestatistics
  Language:Jupyter Notebook 0

• ricardohuaripata / ASHON-Ecommerce-Client

  Backend: https://github.com/ricardohuaripata/ASHON-Ecommerce-API

  angularemail-verificationforgot-passwordoauth2-authenticationpaginationshopping-cartsort-productsstripe-paymentsweetalert2add-to-favoritesproduct-reviews
  Language:TypeScript

• saikrishnabudi / Text-Mining

  Data Science - Text Mining Work

  beautifulsoupcount-vectorizerfeature-extractionlemmatizationnamenamed-entity-recognitionnlpproduct-reviewsregular-expressionsentimental-analysisstopwordstextblobtextminingtextpreprocessingtfidftokenizerwebscrapingwordcloudwordcloud-generatorwordcloud-visualization
  Language:Jupyter Notebook