This project is about classifying text, the amazon reviews data has been taken, used SVM and Naive Bayes for classification.
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Updated
Mar 6, 2022
This project is about classifying text, the amazon reviews data has been taken, used SVM and Naive Bayes for classification.
Perform ETL on amazon reviews dataset using AWS, PostgreSQL, GoogleColab, and PySpark
Sequence to sequence model for different tasks like machine translation, summarization, question answering, etc using attention layer implementation.
In this assignment I will put my ETL skills to the test. Many of Amazon's shoppers depend on product reviews to make a purchase. Amazon makes these datasets publicly available. However, they are quite large and can exceed the capacity of local machines to handle. One dataset alone contains over 1.5 million rows; with over 40 datasets, this can b…
Leveraging 21,000+ Amazon Reviews to conduct Natural Language Processing (NLP), Sentiment Analysis & Supervised Machine Learning to select the best specialty ice cream flavor for our expansion.
This project demonstrates how to perform sentiment analysis using deep learning on Amazon product reviews dataset. The dataset used for the project is obtained from Kaggle and consists of nearly 3000 reviews of amazon users regarding various amazon Alexa products like Alexa echo, Alexa dot etc. Exploratory data analysis is performed on the datas…
Sentiment Analysis on Amazon 2018 customer review dataset
Analyzing Amazon reviews written by members of the paid Amazon Vine program using AWS RDS and PySpark.
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