Sentiment analysis automates the classification of emotions or opinions in text. Learn more about what sentiment analysis is, why sentiment analysis is a powerful tool for many applications, and the steps for automating sentiment analysis, with an emphasis on data preparation and choosing the right classification.

AI models are more accurate and flexible than traditional approaches. Explore the different AI models that can be used for sentiment analysis, including traditional machine learning models (such as decision trees) and deep learning models (such as convolutional neural networks and large language models). You'll also learn how to take advantage of pre-trained language models for sentiment analysis.

Watch all our videos on using AI with MATLAB and Simulink: https://www.youtube.com/playlist?listPLn8PRpmsu08r4JYrvGajKMH_QLRQK6RxX

Related Resources:
– Learn more about sentiment analysis: https://bit.ly/4aOua0r
– What is natural language processing?: https://bit.ly/4aOyIEe
– AI for Natural Language Processing: https://bit.ly/4bOiI6k
– MATLAB and Simulink for Artificial Intelligence: https://bit.ly/MATLAB-AI

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