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
Naive Bayes 101: Resume Selection with Machine LearningCoursera Project Network via Coursera Artificial Intelligence and IoT: Naive Bayes
Udemy Natural Language Processing [ Building Real World Projects]
Udemy Amazon Echo Reviews Sentiment Analysis Using NLP
Coursera Project Network via Coursera Titanic Survival Prediction Using Machine Learning
Coursera Project Network via Coursera