NLP: 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. 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.
Artificial Intelligence (AI)
Natural Language Processing
由 AC 提供Feb 22, 2021
I liked the way the instructor explained how the Naive Bayes classifier works. It was the best explanation I have seen so far
由 SG 提供Oct 24, 2020
Great course for beginners. Well explained. And screen split was very handy.
由 MD 提供Oct 17, 2020
Very Good Project Course. Learned many things in machine learning and python
由 YP 提供Jul 7, 2020
This was amazing. I started to worried, because I think that train an ML is too complicated but this guided project show me that this is something that anyone need to learn. Thanks a lot!