amazon-reviews

There are 2 repositories under amazon-reviews topic.

• scrapehero-code / amazon-review-scraper

  A basic python 3 based web scraper for extracting reviews from Amazon. Built using Selectorlib and requests

  amazon-reviewsscrapersselectorlibweb-scraping
  Language:Python 60

• MuhammedBuyukkinaci / TensorFlow-Sentiment-Analysis-on-Amazon-Reviews-Data

  Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.

  tensorflowlong-short-term-memory-modelssentiment-analysissentiment-classificationamazon-reviewstensorflow-examplestensorflow-tutorialstensorflow-gputensorflow-experimentstensorflow-apigated-recurrent-unitsgated-recurrent-unitgrulstmlstm-neural-networkslstm-sentiment-analysislstm-sentiment-classificationlow-leveltext-classificationtext-classifier
  Language:Python 52

• officialpm / scrape-amazon

  🤩 Python Package for Scraping Amazon Product Reviews ✨

  scrapeamazonbeautifulsoupbeautifulsoup4reviewsproductamazon-reviewsdataamazon-scraping-libraryscraping-dataweb-crawlersscraping-webscraping-pythonscraping-apishacktoberfest
  Language:Python 35

• avivace / reviews-sentiment

  Data analytics, exploration, sentiment analysis and topic analysis (LDA) on Amazon customer reviews. And cool interactive plots.

  amazon-reviewsanalyticscustomer-datadata-analyticsdata-visualizationdata-visualization-projectldaplotssentiment-analysistopic-analysisuser-review
  Language:Jupyter Notebook 30

• VaibhavAbhimanyooHiwase / Sentimental_Analysis_using_Opinion_Target_and_Opinion_Words

  This project performed sentimental analysis based on opinion words (like good, bad, beautiful, wrong, best, awesome, etc) of selected opinion target ( like product name for amazon product reviews).

  natural-language-processingopinion-miningopinion-target-extractionopinion-word-extractionsentimental-analysisamazon-reviewsreview-sentimentsreview-analysistextblob-sentiment-analysis
  Language:Python 29

• 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 27

• kawsarlog / amazon-reviews-extraction

  🛍️📊 Effortlessly extract Amazon reviews using Python with the amazon-reviews-extraction script. This script makes use of popular Python modules like requests, pandas, bs4, and lxml to scrape and parse HTML content from Amazon product review pages. Simplify your data extraction process and gain valuable insights from customer reviews. 🐍🔍

  amazonamazon-product-reviewamazon-product-reviewsamazon-product-scraperamazon-reviewsamazon-reviews-analysisamazon-reviews-scrapingpandaspython-scriptspython3requestsreview-scraper
  Language:Jupyter Notebook 10

• hiteshvaidya / sentiment_analysis

  Sentiment analysis on mobile phone reviews on amazon.

  sentiment-analysisamazon-reviewsscikit-learnscikitlearn-machine-learningdecision-treesdecision-treesupport-vector-machinessupport-vector-machinerandom-forestbag-of-wordsmobile-reviewsmobilemobile-phone-reviewsjupyter-notebookkagglevirtualenvdataset
  Language:Jupyter Notebook 8

• csbanon / bert-product-rating-predictor

  The BERT Product Rating Predictor is a natural language processing model based on the Bidirectional Encoder Representations from Transformers (BERT) model developed to predict star ratings for textual product reviews. 2020.

  amazon-reviewsbertclassificationclusteringmachine-learningnlp
  Language:Jupyter Notebook 7

• alexliqu09 / Sentiment-Analysis-on-Amazon-Reviews

  In this project, we compared Spanish BERT and Multilingual BERT in the Sentiment Analysis task.

  bert-modelsentiment-analysissentiment-classificationnlptransformersamazon-reviewsdeep-learningartificial-intelligencefine-tuningmultilingual-bertbeto
  Language:Jupyter Notebook 6

• krpintu / amazonScraper

  This package allows you to search for products on Amazon and extract some useful information (ratings, number of comments).

  amazonamazon-scraperscraperamazon-reviews-crawleramazon-crawlercrawleramazon-reviewsreviews-crawler
  Language:Python 6

• sid-ramakrishnan / AmazonReviewSummary

  Abstractive and Extractive summarization of Amazon Reviews. Chrome extension front end

  chromeextensionamazon-reviewsflaskpython
  Language:HTML 6

• styfeng / SMERTI

  Code for SMERTI for Semantic Text Exchange.

  semanticstransformersrnngenerative-modelmachine-learningnatural-language-processingdeep-learningartificial-intelligenceemnlp2019controllable-generationamazon-reviewsnews-headlinessemantic-text-exchangetext-infillingmask-language-modeling
  Language:Jupyter Notebook 6

• amri-tah / Amazon-Reviews-Sentiment-Analysis

  This project focuses on sentiment analysis of Amazon product reviews using machine learning and natural language processing techniques. 💬🔍📈

  amazon-reviewsclassificationlogistic-regressionreviewssentiment-analysissupport-vector-machinessvmtext-classification
  Language:Python 5

• 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 5

• iamirmasoud / amazon_sentiment

  Sentiment Analysis on Amazon Reviews Dataset in PyTorch

  amazonamazon-reviewsdeep-learninglstmpythonpytorchrecurrent-neural-networkssentiment-analysis
  Language:Jupyter Notebook 5

• Kavitha-Kothandaraman / Product-Recommendation-Systems

  To build a recommendation system to recommend products to customers based on the their previous ratings for other products

  amazon-review-datasetamazon-reviewsmachine-learning-algorithmsproductratingrecommendation-systemrecommender-system
  Language:Jupyter Notebook 5

• lukasmoldon / genderBERT

  Deep learning model for gender classification on texts using pretrained BERT models

  amazonamazon-reviewsbertbert-modeldeep-learninggender-classificationgender-recognitionmachine-learningneural-networksredditreddit-postsstackoverflow
  Language:Python 5

• NikhilGupta1997 / Sentiment-Analysis

  Implementation of classical SVM and deep Seq-to-Seq LSTM models to analyze and classify sentiment (1-5 scale) on Amazon reviews.

  amazon-reviewslstm-neural-networksnatural-language-processingsentiment-analysissvm-classifier
  Language:Python 5
• debertav3-for-aspect-based-sentiment-analysis

  EliasK93 / debertav3-for-aspect-based-sentiment-analysis

  Application for training the pretrained transformer model DeBERTaV3 on an Aspect Based Sentiment Analysis task

  amazon-reviewsaspect-based-sentiment-analysisdebertadeberta-v3nlpsimpletransformersspacy
  Language:Python 3

• hechmik / amazon_reviews

  Creation of a sentiment classifier on Amazon Reviews and evaluation on Twitter corpus

  amazon-reviewstext-miningsentiment-analysistext-classificationnltktweetstweets-sentiment
  Language:Jupyter Notebook 3

• jakobowsky / amazon-reviews-scraper

  Amazon reviews scraper

  amazonamazon-reviewsamazon-scraperreviews-scraper
  Language:Python 3

• msiddhu / sentiment-analysis_on_phone-reviews

  Sentiment Analysis using LSTM model on the smartphone reviews. Which are are scarped from amazon.in .

  nlp-machine-learningnlpreviewsanalysis-nlpreviewstensorflowamazon-reviews
  Language:Jupyter Notebook 3

• NimaVahdat / BART_Summarization_Rating

  Multitask BART model for Amazon review summarization and rating prediction with a Gradio interface and Flask API.

  amazon-reviewsapibartdeploymentflaskgradiohuggingfacemultitask-learningsentiment-classificationsummarizationtransfer-learningtransformerllmsdistributed-training
  Language:Python 3

• sushil-rgb / AmazonBuddy

  AmazonBuddy: Your Discord companion for instant product info extraction! Effortlessly retrieve ASIN/ISBN from links and access detailed reviews. Streamline your product research now!

  amazonamazon-reviewsdiscorddiscord-botpython3webscraping
  Language:Python 3

• tohid-yousefi / Sentiment_Analysis_on_Amazon_Product_Reviews

  In this section, we will do a sentiment analysis on amazon product reviews.

  amazonamazon-reviewsamazon-reviews-sentiment-analysislogistic-regressionnlpnlp-librarynlp-machine-learningnltknltk-librarynltk-pythonrandom-forestsentiment-analysissentiment-classification
  Language:Jupyter Notebook 3

• vaibhavz2402 / abstractive-text-summarization

  Abstractive Text Summarization of Amazon reviews. Using LSTM model summary of full review is abstracted

  text-summarizationlstmlstm-modelabstractive-text-summarizationamazon-reviewsdeep-learningnltknlp
  Language:Jupyter Notebook 3

• aouataf-djillani / Amazon-review-sentiment-analysis

  Vader Versus SVM and Logistic Regression for sentiment analysis

  amazon-reviewsamazon-reviews-sentiment-analysisnltksentiment-analysisvaderclassificationlogistic-regressionpandaspythonsvm-classifier
  Language:Jupyter Notebook 2

• Fabi8997 / amazon-review-summarizer

  Repository containing the project for the course on Business and Project Management at the University of Pisa (A.Y. 2022/2023) realized by Fabiano Pilia, Emanuele Tinghi and Matteo Dal Zotto.

  amazon-reviewsbartgenerative-aihuggingface-transformerskaggle-datasetnatural-language-processingpegasuspythonsentiment-analysissummarizationt5-baset5-largetensorflowtext-processingtext-to-text-generationtransformer
  Language:Jupyter Notebook 2

• ikanurfitriani / Sentiment-Analysis-of-Amazon-Reviews

  This repository contains the results of my simple sentiment analysis of Amazon Reviews.

  amazon-reviewsamazon-reviews-sentiment-analysissentiment-analysis
  Language:Jupyter Notebook 2

• luminati-io / Amazon-scraper

  Extract Amazon data with the #1 Amazon Scraper API, including search results, product details, offers, reviews, Q&A, bestsellers, and seller information. Start your free trial now!

  amazonamazon-apiamazon-dataamazon-datasetamazon-product-scraperamazon-scraperdatasetsweb-scraperweb-scrapingamazon-reviewsamazon-scrapinge-commerce-scraperprice-scraperpythonscraping-amazon
  Language:Python 2

• msikorski93 / Sentiment-Analysis-on-Amazon-Reviews

  A basic NLP project on musical instruments reviews on Amazon.

  amazon-reviewshuggingface-transformersmulticlass-classificationnlp-machine-learningroberta-modelsentiment-analysissgd-classifiervader-sentiment-analyzernltkscikit-learn
  Language:Jupyter Notebook 2

• sherlvick / sentimental-analysis_SVM

  Sentiment analyis of Amazon product reviews using SVM 'rbf':kernel classifier in which word vectorization is done using TF_IDF and CountVectorizer.

  python3sentiment-analysisamazon-reviewsweb-scrapingnlpsvmsvm-classifiersentiment-classificationamazonguitkinter-guitkinterpandasscikit-learnscikitlearn-machine-learningtf-idfpythondataset
  Language:Python 2

• subhamyadav580 / Amazon-Reviews-Predictions-of-Cell-Phones-and-Accessories

  This project show the data visualisation of AMAZON Review dataset of Cell Phone and Accessories. It also shows the prediction of ratings according to there comments or reviews.

  amazon-reviewsnlpnaive-bayes-classifierlogistic-regression
  Language:Jupyter Notebook 2

• jayasurya247 / Sentiment-Analysis-on-Amazon-Fine-Food-Reviews

  Sentiment Analysis on Amazon Fine Food Reviews

  amazon-reviewsclassificationdata-sciencedata-visualizationexploratory-data-analysisjupyter-notebookmachine-learningmodel-building-and-evaluationnatural-language-processingnlp-machine-learningnltk-pythonpythonsentiment-analysissentiment-classification
  Language:Jupyter Notebook 1

• rositx / amazon-product-reviews-analysis

  Uncover what customers love & dislike with sentiment analysis & topic modeling. Benchmark products & gain actionable insights to improve customer experience! #ecommerce #datascience

  amazonamazon-reviewsnlp-machine-learningpython3sentiment-analysis
  Language:Jupyter Notebook 1