Amazon Echo Reviews Sentiment Analysis Using NLP

提供方
Coursera Project Network
在此指導項目中,您將:

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
Intermediate中級
Cloud無需下載
Video分屏視頻
Comment Dots英語(English)
Laptop僅限桌面

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.

您要培養的技能

  • Python Programming
  • Machine Learning
  • Natural Language Processing

分步進行學習

在與您的工作區一起在分屏中播放的視頻中,您的授課教師將指導您完成每個步驟:

  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

指導項目工作原理

您的工作空間就是瀏覽器中的雲桌面,無需下載

在分屏視頻中,您的授課教師會為您提供分步指導

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常見問題

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