Text Analytics with Python Professional Certificate
What you will learn:
Construct applications using unstructured data like news articles and tweets.
Apply machine learning classifiers to categorize documents by content and author.
Practice using document similarity and topic models to work with large data sets.
Visualize and interpret text analytics, including statistical significance testing.
Assess the scientific and ethical foundations of new applications for text analysis.
Extend your knowledge of the core techniques of text analytics by looking at how to make sense of the output of models. Visualizing Text Analytics with Python is the second course in the Text Analytics with Python professional certificate. Natural language processing (NLP) is only useful when its results [...]
Learn the core techniques of text analytics alongside the cognitive science that makes it all possible. Introduction to Text Analytics with Python is part one of the Text Analytics with Python professional certificate. This first course introduces the core techniques of natural language processing (NLP). But we introduce these [...]