NLP: Twitter Sentiment Analysis
Create a pipeline to remove stop-words, punctuation, and perform tokenization
Understand the theory and intuition behind Naive Bayes classifiers
Train a Naive Bayes Classifier and assess its performance
In this hands-on project, we will train a Naive Bayes classifier to predict sentiment from thousands of Twitter tweets. This project could be practically used by any company with social media presence to automatically predict customer's sentiment (i.e.: whether their customers are happy or not). The process could be done automatically without having humans manually review thousands of tweets and customer reviews. 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
- Artificial Intelligence (AI)
- 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：
Import libraries and datasets
Perform Exploratory Data Analysis
Plot the word cloud
Perform data cleaning - removing punctuation
Perform data cleaning - remove stop words
Perform Count Vectorization (Tokenization)
Create a pipeline to remove stop-words, punctuation, and perform tokenization
Understand the theory and intuition behind Naive Bayes classifiers
Train a Naive Bayes Classifier
Assess trained model performance
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
审阅
来自NLP: TWITTER SENTIMENT ANALYSIS的热门评论
Overall nicely guided small project. The tutor explained it very well. Please make more such short courses. More concepts from Basic NLP can be covered.
Able to follow the lectures and learn about the basics of data processing for text mining. Expect more in-depth knowledge about sentiment analysis.
I would love to do more project under the guidance of the this professor. Each and every concept was clearly explained\n\nThank You
This guided project is a chance to learn a basic technical skill in data cleaning. I love the explanation for Naive Bayes algorithm.
常见问题
常见问题
如果我购买指导项目，会得到什么？
指导项目可在台式设备和移动设备上学习吗？
指导项目的授课教师是谁？
我能在完成指导项目后从中下载作品吗？
我能够退款吗？退款政策是如何规定的？
有助学金吗？
我能旁听指导项目并免费观看视频部分吗？
我需要具备多少经验才能做这个指导项目？
我能直接通过 Web 浏览器来完成此指导项目，而不必安装特殊软件吗？
指导项目的学习体验如何？
还有其他问题吗？请访问 学生帮助中心。
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