Sentiment Analysis on the Amazon Reviews Dataset using BERT-based transfer learning approach.
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Updated
Apr 19, 2021 - Jupyter Notebook
Sentiment Analysis on the Amazon Reviews Dataset using BERT-based transfer learning approach.
To build a recommendation system to recommend products to customers based on the their previous ratings for other products
Rate Prediction using Amazon Review Dataset and Deep Learning
This repository contains code and resources for analyzing Amazon reviews and performing sentinent analysis.
Data Mining on Amazon user reviews for musical instruments
This notebook will show you how to implement a deep leaning algorithm (LSTM) on the Amazon Alexa Reviews dataset
Assignments for MSCI 641: Text Analytics, Spring 2020 at University of Waterloo.
Sentiment analysis of amazon reviews dataset using BERT - model development and deployment
The public dataset in Hindi language published for paper 28 - AICS2020, Ireland
Sentimentally analyze product reviews to predict opinion honesty.
Analysing Amazon customer reviews via Clustering, Visualization and Classification
Performing NLP on Amazon's review on sports and outdoor
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This project aims to create a pipeline-architecture for applying sentiment analysis to reviews on an amazon dataset.
Sentiment Analysis using Conv1D and LSTM
Projet d'Exploration et Analyse de Données (EDA) sur la catégorie Sports and Outdoors du dataset Amazon. Analyse des motifs fréquents, extraction de motifs à forte utilité et découverte de groupes d'utilisateurs via les algorithmes MOMRI.
Amazon Reviews Analysis
Apparel-recommendation-engine-Machine-Learning
Sentiment Analysis is the process of determining whether a piece of writing is positive, negative or neutral.
MapReduce to calculate the Chi-squared value for the Amazon Review Corpus
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