AmazonBuddy: Your Discord companion for instant product info extraction! Effortlessly retrieve ASIN/ISBN from links and access detailed reviews. Streamline your product research now!
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Updated
Nov 19, 2023 - Python
AmazonBuddy: Your Discord companion for instant product info extraction! Effortlessly retrieve ASIN/ISBN from links and access detailed reviews. Streamline your product research now!
This ML model trains from data collected from Amazon product reviews and predicts whether the review is positive [1] or negative [-1].
This repo contains multiple amazon review sentiment analysis models using different techniques, along with docker images and kubernetes templates to help you productionalize it.
This project focuses on sentiment analysis of Amazon product reviews using machine learning and natural language processing techniques. 💬🔍📈
Sentiment Analysis on Whirl Pool Washing Machine Based on its reviews from Amazon Website
Sentiment analyis of Amazon product reviews using SVM 'rbf':kernel classifier in which word vectorization is done using TF_IDF and CountVectorizer.
The objective of this project is to discover insights into consumer reviews.
Search platform for product manufacturers to learn "Consumer Insights"
Deep learning model for gender classification on texts using pretrained BERT models
This package allows you to search for products on Amazon and extract some useful information (ratings, number of comments).
Amazon reviews scraper
A basic python 3 based web scraper for extracting reviews from Amazon. Built using ChromeDriver.
Implementation of classical SVM and deep Seq-to-Seq LSTM models to analyze and classify sentiment (1-5 scale) on Amazon reviews.
Sentiment Analysis of product based reviews using Machine Learning Approaches. This is my Final Year B.Tech Project, 2018.
🤩 Python Package for Scraping Amazon Product 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).
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.
A basic python 3 based web scraper for extracting reviews from Amazon. Built using Selectorlib and requests
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