amazon-reviews-sentiment-analysis
There are 4 repositories under amazon-reviews-sentiment-analysis topic.
ronaldseoh / atsc_prompts
Codes for the experiments in our EMNLP 2021 paper "Open Aspect Target Sentiment Classification with Natural Language Prompts"
Language:Jupyter Notebook 36t-shah02 / amazon-reviews-nlp-sentiment-analysis
A data science project that utilizes ETL, EDA and ML to analyze sentiments on various Amazon product reviews from different categories.
Language:Jupyter Notebook 7coderakib / Sentimental-analysis-of-amazon-customer-reviews
This is the machine learning project which uses sentimental analysis of amazon customer reviews.
Language:Jupyter Notebook 4aouataf-djillani / Amazon-review-sentiment-analysis
Vader Versus SVM and Logistic Regression for sentiment analysis
Language:Jupyter Notebook 3tohid-yousefi / Sentiment_Analysis_on_Amazon_Product_Reviews
In this section, we will do a sentiment analysis on amazon product reviews.
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ikanurfitriani / Sentiment-Analysis-of-Amazon-Reviews
This repository contains the results of my simple sentiment analysis of Amazon Reviews.
Language:Jupyter Notebook 1Rittikasur / Sentimental-Analysis-using-LSTM-GRU
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)
Language:Jupyter Notebook 0roshancyriacmathew / Deep-Learning-on-Amazon-Alexa-Reviews
This notebook will show you how to implement a deep leaning algorithm (LSTM) on the Amazon Alexa Reviews dataset
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