Amazon Echo Reviews Sentiment Analysis Using NLP

提供方
Coursera Project Network
在此指导项目中,您将:

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中级
Cloud无需下载
Video分屏视频
Comment Dots英语(English)
Laptop仅限桌面

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.

您要培养的技能

  • Python Programming
  • Machine Learning
  • Natural Language Processing

分步进行学习

在与您的工作区一起在分屏中播放的视频中,您的授课教师将指导您完成每个步骤:

  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

指导项目工作原理

您的工作空间就是浏览器中的云桌面,无需下载

在分屏视频中,您的授课教师会为您提供分步指导

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