Amazon Echo Reviews Sentiment Analysis Using NLP

Offered By
Coursera Project Network
In this Guided Project, you will:

Understand python programming fundamentals for Natural Language Processing

Create a pipeline to remove stop-words, perform tokenization and padding

Train and test Naive Bayes Classifier Models

Clock2 hours
IntermediateIntermediate
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

In this hands-on project, we will predict customer sentiment using natural language processing techniques. In this project, we will build a machine learning model to analyze thousands of amazon echo reviews to predict customers sentiment. Artificial Intelligence and Machine Learning (AI/ML)-based sentiment analysis is crucial for companies to automatically predict whether their customers are happy or not. This project is practical and directly applicable to any company with that has online presence. The algorithm could be used automatically detect customers sentiment. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Skills you will develop

Python ProgrammingMachine LearningNatural Language Processing

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Understand the Problem Statement and Business Case

  2. Import Libraries and Datasets

  3. Perform Data Visualization

  4. Perform Data Exploration

  5. Plot the wordcloud

  6. Text Data Cleaning 101

  7. Perform Count Vectorization (Tokenization)

  8. Create a Complete Text Processing Pipeline

  9. Train and Test a Naive Bayes Classifier Model

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Frequently asked questions

Frequently Asked Questions

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