Perform Sentiment Analysis with scikit-learn
In this project-based course, you will learn the fundamentals of sentiment analysis, and build a logistic regression model to classify movie reviews as either positive or negative. We will use the popular IMDB data set. Our goal is to use a simple logistic regression estimator from scikit-learn for document classification. This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with Python, Jupyter, and scikit-learn pre-installed. Notes: - You will be able to access the cloud desktop 5 times. However, you will be able to access instructions videos as many times as you want. - 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.
由 JN 提供Sep 10, 2020
Very good project. hands-on with enough background. You can apply the concept on any textual data to predict sentiment.
由 JA 提供May 26, 2020
This is a good project with well explained concept, it has help me remember things I have forgotten
由 MK 提供May 23, 2020
This course is very helpful if you want to start working with NLP and want to have better understanding of the basics.
由 SD 提供Jun 7, 2020
It would be good if we explain some terms in detail like tf-idf, count vectorizer, porter etc