Classify Sentiment of Tweets Using Deep Learning
Version 1.0.0 (1.63 MB) by
Heather Gorr, PhD
Example on building a deep learning model to classify positive or negative Tweets.
This example demonstrates how to build a deep learning model in MATLAB to classify the sentiment of Tweets as positive or negative. This also includes an example of reading data from the Twitter API using Datafeed Toolbox.
Cite As
Heather Gorr, PhD (2024). Classify Sentiment of Tweets Using Deep Learning (https://www.mathworks.com/matlabcentral/fileexchange/68264-classify-sentiment-of-tweets-using-deep-learning), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Created with
R2018a
Compatible with any release
Platform Compatibility
Windows macOS LinuxCategories
Find more on Get Started with Deep Learning Toolbox in Help Center and MATLAB Answers
Tags
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Discover Live Editor
Create scripts with code, output, and formatted text in a single executable document.
Version | Published | Release Notes | |
---|---|---|---|
1.0.0 |