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Create a pipeline to remove stop-words, punctuation, and perform tokenization
Understand the theory and intuition behind Naive Bayes classifiers
Train a Naive Bayes Classifier and assess its performance
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)
Python Programming
Machine Learning
Natural Language Processing
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Import libraries and datasets
Perform Exploratory Data Analysis
Plot the word cloud
Perform data cleaning - removing punctuation
Perform data cleaning - remove stop words
Perform Count Vectorization (Tokenization)
Create a pipeline to remove stop-words, punctuation, and perform tokenization
Understand the theory and intuition behind Naive Bayes classifiers
Train a Naive Bayes Classifier
Assess trained model performance
Your workspace is a cloud desktop right in your browser, no download required
In a split-screen video, your instructor guides you step-by-step
by JB
Jun 24, 2022Awesome to learrn the basics of NPL using python for sentiment analysis.
by SA
Aug 3, 2021Great course. The cloud environment didn't match the instructor's at times.
by MM
Aug 19, 2020Excellent tutorial , easy to follow and the mico challenge part is awesome .
by CC
Jan 21, 2021Able to follow the lectures and learn about the basics of data processing for text mining. Expect more in-depth knowledge about sentiment analysis.
By purchasing a Guided Project, you'll get everything you need to complete the Guided Project including access to a cloud desktop workspace through your web browser that contains the files and software you need to get started, plus step-by-step video instruction from a subject matter expert.
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At the top of the page, you can press on the experience level for this Guided Project to view any knowledge prerequisites. For every level of Guided Project, your instructor will walk you through step-by-step.
Yes, everything you need to complete your Guided Project will be available in a cloud desktop that is available in your browser.
You'll learn by doing through completing tasks in a split-screen environment directly in your browser. On the left side of the screen, you'll complete the task in your workspace. On the right side of the screen, you'll watch an instructor walk you through the project, step-by-step.
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