Text Analytics 2: Visualizing Natural Language Processing

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__ _ Visualizing Natural Language Processing _ is the second course in the Text Analytics with Python professional certificate (or you can study it as a stand-alone course). Natural language processing (NLP) is only useful when its results are meaningful to humans. This second course continues by looking at how to make sense of our results using real-world visualizations.

How can we understand the incredible amount of knowledge that has been stored as text data? This course is a practical and scientific introduction to text analytics. That means you’ll learn how it works and why it works at the same time.

On the practical side, you’ll learn how to visualize and interpret the output of text analytics. You’ll learn how to create visualizations ranging from word clouds, heatmaps, and line plots to distribution plots, choropleth maps, and facet grids. You’ll work through real case-studies using jupyter notebooks and to visualize the results of machine learning in Python using packages like pandas, matplotlib, and seaborn.

On the scientific side, you’ll learn what it means to understand language computationally. How do word embeddings and topic models relate to human cognition? Artificial intelligence and humans don’t view language in the same way. You’ll see how both deep learning and human beings interact with the meaning that is encoded in language.


Jonathan Dunn
Jonathan Dunn

I'm a computational linguist, teaching both linguistics and natural language processing. My research models the emergence of grammar within individual speakers and the diffusion of dialects across global populations."

Tom Coupe
Tom Coupe

My research covers a wide range of topics (recent topics include replications, job insecurity, the Eurovision Song Contest, trade policy preferences, football, terrorism, war and happiness). In my papers I typically analyze interesting datasets using econometric methods.

Jeanette King
Jeanette King

I have published widely in areas relating to the Māori language and languages spoken by Māori - from aspects of linguistic change, particularly in the phrasal lexicon, through to language revitalization. I am a member of the MAONZE (Māori and New Zealand English) project examining change over time in the pronunciation of Māori.

I lead the bilingualism theme at the New Zealand Institute of Language, Brain and Behaviour (NZILBB) at UC where my current research includes work on non-verbal behaviour of Māori and Pākehā in New Zealand. Another project, entitled Tuhinga Māhorahora, collects and analyses writing by children in Māori immersion schooling in order to provide feedback to teachers about the use of Māori by their students.

Girish Prayag
Girish Prayag

The overarching focus of my research is consumption experiences in the services industry with a particular focus on the airline, tourism and hospitality industries. My past and current research themes include: consumption emotions, place/brand attachment, anthropomorphism, service design, destination marketing and tourism/event impacts.