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. Such insights could then be used to help decision making processes in asset management, risk management, or algorithmic trading.
In this webinar you will learn how to perform text analytics in MATLAB using the Text Analytics Toolbox. The webinar will walk you through examples of text analytics applications including Topic Modeling and Sentiment analysis with Social Media data for Financial applications. You will learn the basics of Text Analytics workflows from data import, pre-processing, conversion of text to numeric form, machine learning and deep learning model building.
Previous knowledge of MATLAB is not required for this webinar.