Design a Sentiment Analyzer using machine learning on Amazon review dataset.

A sentiment analyzer for Amazon reviews using machine learning algorithms like Logistic Regression and Support Vector Machines.

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This project is to analyze and give a report based on customer reviews - Scrutiny

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ZORA - Sentiment Analyzer For product reviews of e-commerce platforms: Amazon & Flipkart.

A Product Review Sentiment Analyzer that automatically classifies Amazon/Yelp reviews as positive, negative, or neutral.

This Sentiment Analyzer reviews messages from Amazon Company as either positive, neutral or negative. Impressive.

Amazon Product Review Sentiment Analyzer : A Flask web application that scrapes Amazon product reviews using Selenium and performs sentiment analysis with the `roBERTa` model from Hugging Face. It provides insights into customer feedback by categorizing reviews into positive, neutral, and negative sentiments.

The Product Sentiment Analyzer and Review Dashboard is a web-based application that collects product reviews from e-commerce websites such as Amazon and Flipkart using dynamic web scraping. The application analyzes the reviews using sentiment analysis techniques and displays the insights on an interactive dashboard.

"Comments and Reviews Analyzer", aims to provide an automated system that analyzes user-generated content from YouTube and Amazon. The system is designed to provide valuable insights into the sentiments of comments on YouTube videos and reviews of products on Amazon.

Sentiment Analyzer Based on Text Analysis A simple sentiment analysis tool built with Streamlit and Naive Bayes. It processes text data from IMDb, Amazon, and Yelp to predict whether a review is Positive or Negative. 🚀

"Review Insight Analyzer" is a web app that analyzes Amazon product reviews using sentiment analysis and tracks price changes over time. It helps users make smarter buying decisions with real-time review insights and price trends, combining web scraping, NLP, and data visualization in a user-friendly interface.

This project has analyzed the Amazon Review dataset to find any motivating insight concerning heterogeneous recommendations and answer the following questions: • Which users reviewed products from several domains? • What are the pairs of domains connected via bridge users? • What is the relation between domains? • What is the accuracy of using a state-of-the-art sentiment analysis tool such as Social Mention and Sentiment Analyzer over the reviews and see whether the result is consistent with the numeric score system for the reviews (e.g., positive sentiment for reviews with five stars vs. negative sentiment for reviews with one star)

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Amazon Review Sentiment Analyzer

Amazon Review Sentiment Analyzer

Amazon Review Sentiment Analyzer Project

Sentiment Analyzer de amazon reviews

Amazon Product Reviews Sentiment Analyzer

Sentiment Analyzer of Amazon Reviews

Simple sentiment analyzer for Amazon Reviews

Sentiment Analyzer for Amazon Kindle Reviews.

AI-powered Amazon reviews sentiment analyzer

Sentiment Analyzer of Amazon Product Reviews

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Analyzes the sentiments of reviews on Amazon using Tensorflow

AmazonReviewSentimentAnalyzer is a Python project designed to perform sentiment analysis on Amazon product reviews from a given URL. Utilizing natural language processing techniques, this tool helps users determine the overall sentiment (positive, negative, or neutral) of reviews for a specific product on Amazon and visualizes the results.

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