NLP: Twitter Sentiment Analysis
Offered By: Coursera Project Network via Coursera
Course Description
Overview
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.
Syllabus
- Twitter Sentiment Analysis
- 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.
Taught by
Ryan Ahmed
Related Courses
Building a unique NLP project: 1984 book vs 1984 albumCoursera Project Network via Coursera Amazon Echo Reviews Sentiment Analysis Using NLP
Coursera Project Network via Coursera Amazon Translate: Translate documents with batch translation
Coursera Project Network via Coursera Analyze Text Data with Yellowbrick
Coursera Project Network via Coursera Analyzing Squid Game Script with Google Cloud NLP
Coursera Project Network via Coursera