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Learner Reviews & Feedback for NLP: Twitter Sentiment Analysis by Coursera Project Network

4.6
stars
366 ratings

About the Course

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....

Top reviews

JG

Jul 20, 2020

El concepto tras este tipo de cursos está demasiado bien. El curso es completo y deja bases para aplicación en proyectos fáciles. Buen curso para empezar a buscar motivación en este tipo de temáticas.

YP

Jul 8, 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!

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76 - 77 of 77 Reviews for NLP: Twitter Sentiment Analysis

By Richard O C

Dec 27, 2021

The video content and cloud resources are very good, however I managed to access the cloud workspace and work on this project for a grand total of about 15 minutes before leaving my workstation for slightly longer than 10 minutes and then being locked out of the cloud workspace and the dashboard marking the guided part as complete despite only completing 3 of the 11 tutorials.

I reported the problem twice and left it for a few days and still cannot access the cloud workspace. All in all a bit of a waste of time paying for something that I cannot use. The video tutorials are handy, although cannot follow along using the cloud environment.

By Deleted A

Jul 10, 2023

This course gave me a certificate before I completed the course. I was disappointed as I feel the courses and trainers are properly vetted to maintain quality. The same happened to me with the following short course I took:

"Exploratory Data Analysis With Python and Pandas" by Bassim Eledath