Topic: amazon-reviews Goto Github
Some thing interesting about amazon-reviews
Some thing interesting about amazon-reviews
amazon-reviews,This ML model trains from data collected from Amazon product reviews and predicts whether the review is positive [1] or negative [-1].
User: abhi575k
amazon-reviews,In this project, we compared Spanish BERT and Multilingual BERT in the Sentiment Analysis task.
User: alexliqu09
amazon-reviews,Scraping, visualizations and dictionary based sentiment analysis on Amazon reviews
User: andreazoccatelli
amazon-reviews,Vader Versus SVM and Logistic Regression for sentiment analysis
User: aouataf-djillani
amazon-reviews,Data analytics, exploration, sentiment analysis and topic analysis (LDA) on Amazon customer reviews. And cool interactive plots.
User: avivace
Home Page: https://avivace.github.io/reviews-sentiment
amazon-reviews,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.
User: csbanon
amazon-reviews,Un progetto di confronto tra HADOOP, SPARK e HIVE su query simili per analisi distribuite su un dataset in formato CSV relativo a recensioni di prodotti gastronomici Amazon
User: e-petrachi
amazon-reviews,Design to build an ETL process for Amazon Review datasets. Two datasets are chosen: Amazon Japan and Amazon Kitchenware. Analyze each dataset and determine if Amazon's vine program is trustworthy or not.
User: erikayi
amazon-reviews,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.
User: fabi8997
amazon-reviews,This repository contains data analytics projects that are important to our day to day Machine learning activities
User: fashabs
amazon-reviews,Creation of a sentiment classifier on Amazon Reviews and evaluation on Twitter corpus
User: hechmik
amazon-reviews,Sentiment analysis on mobile phone reviews on amazon.
User: hiteshvaidya
Home Page: https://github.com/hiteshvaidya/sentiment_analysis
amazon-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
amazon-reviews,Sentiment Analysis on Amazon Reviews Dataset in PyTorch
User: iamirmasoud
amazon-reviews,This repository contains the results of my simple sentiment analysis of Amazon Reviews.
User: ikanurfitriani
amazon-reviews,Amazon reviews scraper
User: jakobowsky
amazon-reviews,Sentiment Analysis on Amazon Review using Deep Learning
User: jarvis017
amazon-reviews,Sentiment Analysis on Amazon Fine Food Reviews
User: jayasurya247
amazon-reviews,To build a recommendation system to recommend products to customers based on the their previous ratings for other products
User: kavitha-kothandaraman
amazon-reviews,🛍️📊 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. 🐍🔍
User: kawsarlog
Home Page: https://www.youtube.com/watch?v=m-3kyQLIXlU
amazon-reviews,Classification for Deception Detection on Amazon Reviews Dataset
User: keswani-rohitkumar
amazon-reviews,This package allows you to search for products on Amazon and extract some useful information (ratings, number of comments).
User: krpintu
amazon-reviews,Amazon Reviews Analysis
User: lcarcamo1526
amazon-reviews,Deep learning model for gender classification on texts using pretrained BERT models
User: lukasmoldon
amazon-reviews,A basic python 3 based web scraper for extracting reviews from Amazon. Built using ChromeDriver.
User: mindisk
amazon-reviews,The public dataset in Hindi language published for paper 28 - AICS2020, Ireland
User: mrraghav
amazon-reviews,Sentiment Analysis using LSTM model on the smartphone reviews. Which are are scarped from amazon.in .
User: msiddhu
amazon-reviews,A basic NLP project on musical instruments reviews on Amazon.
User: msikorski93
amazon-reviews,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.
User: muhammedbuyukkinaci
amazon-reviews,Implementation of classical SVM and deep Seq-to-Seq LSTM models to analyze and classify sentiment (1-5 scale) on Amazon reviews.
User: nikhilgupta1997
amazon-reviews,🤩 Python Package for Scraping Amazon Product Reviews ✨
User: officialpm
Home Page: https://pypi.org/project/scrape-amazon
amazon-reviews,Amazon Review Scraper for hassle-free review data extraction, including authors, titles, descriptions, ratings, dates, and more.
Organization: oxylabs
Home Page: https://oxylabs.io/products/scraper-api/ecommerce/amazon/reviews
amazon-reviews,This repo contains multiple amazon review sentiment analysis models using different techniques, along with docker images and kubernetes templates to help you productionalize it.
User: pmanickavelu
amazon-reviews,Sentiment Analysis of product based reviews using Machine Learning Approaches. This is my Final Year B.Tech Project, 2018.
User: pranitbose
amazon-reviews,Performing NLP on Amazon's review on sports and outdoor
User: rahulraj31
amazon-reviews,Uncover what customers love & dislike with sentiment analysis & topic modeling. Benchmark products & gain actionable insights to improve customer experience! #ecommerce #datascience
User: rositx
amazon-reviews,A basic python 3 based web scraper for extracting reviews from Amazon. Built using Selectorlib and requests
User: scrapehero-code
Home Page: https://www.scrapehero.com/how-to-scrape-amazon-product-reviews/
amazon-reviews,Sentiment analyis of Amazon product reviews using SVM 'rbf':kernel classifier in which word vectorization is done using TF_IDF and CountVectorizer.
User: sherlvick
amazon-reviews,Abstractive and Extractive summarization of Amazon Reviews. Chrome extension front end
User: sid-ramakrishnan
amazon-reviews,Code for SMERTI for Semantic Text Exchange.
User: styfeng
Home Page: https://www.aclweb.org/anthology/D19-1272/
amazon-reviews,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.
User: subhamyadav580
amazon-reviews,AmazonBuddy: Your Discord companion for instant product info extraction! Effortlessly retrieve ASIN/ISBN from links and access detailed reviews. Streamline your product research now!
User: sushil-rgb
amazon-reviews,Comparison of AWS Comprehend and SpaCy on a subset of the Amazon Handmade reviews for sentiment analysis and NER
User: tanyakuznetsova
amazon-reviews, In this section, we will do a sentiment analysis on amazon product reviews.
User: tohid-yousefi
amazon-reviews,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).
User: vaibhavabhimanyoohiwase
amazon-reviews,Abstractive Text Summarization of Amazon reviews. Using LSTM model summary of full review is abstracted
User: vaibhavz2402
amazon-reviews,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
User: vaitybharati
amazon-reviews,5 - Personal Project - Sentiment Analyse+Deep Learn - Amazon App
User: varelaerick
amazon-reviews,Search platform for product manufacturers to learn "Consumer Insights"
User: vyshaal
Home Page: http://consumerinsights.info:4200/
amazon-reviews,Sentiment analysis of large amazon review dataset using a deep learning neural network build using LSTM layers
User: yashinaniya
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