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amazon-alexa

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This GitHub repository presents sentiment analysis for Amazon Alexa reviews using Logistic Regression and Naive Bayes classifiers. A hybrid approach combining both models achieves a high test accuracy of 92%-94%. The code allows users to analyze their datasets and contribute to the project's further development.

  • Updated Jul 19, 2023
  • Jupyter Notebook

Problem to solve: discover insights into consumer reviews and assist with machine learning models.You can also train your machine models for sentiment analysis and analyze customer reviews how many positive reviews ? and how many negative reviews ? Data Information: The dataset consists of 3000 Amazon customer reviews Rating Date Variation Verif…

  • Updated Sep 21, 2022
  • Jupyter Notebook

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