Text Analytics in MATLAB


Valuable insights are often buried in large amounts of text data where manual analysis would be unsurmountable to a human. MATLAB® can automate the process effectively and efficiently, letting you interact with and visualize your text data to identify patterns, trends, and complex relationships you could not find otherwise.


In this webinar you will learn how to perform text analytics in MATLAB using the Text Analytics Toolbox. The webinar will walk you through two demos of text analytics applications:

The demos will teach you the basics of Text Analytics workflows from data import, pre-processing, conversion of text to numeric form, machine learning and deep learning model building.

You will also learn about using the MATLAB Live Editor as a transformative way to create, document and share your text analytics insights with code and output contained in one document along with rich text, figures andequations. 

Please allow approximately 45 minutes to attend the presentation and Q&A session. We will be recording this webinar, so if you can't make it for the live broadcast, register and we will send you a link to watch it on-demand.

Who Should Attend

Anyone with text data! Previous knowledge of MATLAB is not required for this webinar.

About the Presenter

James Wiken is an application engineer at MathWorks.

Sarah Palfreyman is the technical marketing lead for the Text Analytics Toolbox.

Product Focus

Registration closed