There are 4 repositories under amazon-reviews-sentiment-analysis topic.
Codes for the experiments in our EMNLP 2021 paper "Open Aspect Target Sentiment Classification with Natural Language Prompts"
A data science project that utilizes ETL, EDA and ML to analyze sentiments on various Amazon product reviews from different categories.
This is the machine learning project which uses sentimental analysis of amazon customer reviews.
In this section, we will do a sentiment analysis on amazon product reviews.
Vader Versus SVM and Logistic Regression for sentiment analysis
This repository contains the results of my simple sentiment analysis of Amazon Reviews.
Sentiment analysis lets you analyze the sentiment behind a given piece of text. In this notebook, we have done sentimental analysis for amazon shoe reviews, using 2 RNN models(LSTM and GRU)
This notebook will show you how to implement a deep leaning algorithm (LSTM) on the Amazon Alexa Reviews dataset
Comparison of AWS Comprehend and SpaCy on a subset of the Amazon Handmade reviews for sentiment analysis and NER
Sentimentail Analysis on Amazon product reviews