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Feb 23, 2019
Topic Modeling Using Latent Dirichlet Allocation
Portland Community Church

Philip Robinson will be presenting research whilst at NASA on Topic Modeling.

Topic modeling is the task of taking a collection of objects and establishing a strategy for describing these objects by common categories found across the collection. This is usually an unsupervised activity applied to a document collection and doesn't require topics to be human interpret-able. My talk introduces Latent Dirichlet Allocation, as a topic modeling strategy for a collection of topics, and discusses an implemented prototype system I developed for NASA's Jet Propulsion Lab. For this project, I addressed the "Matchmaker's Problem" in the context of identifying the best employee to solve a mission-critical engineering anomaly in late-stage missions. The long-form presentation can be found here

If you would like to join the discussion check us out on Zoom

Do you want to learn and share your passion in a supportive community? Knowledge Mavens is an ethos of sharing, creativity, and inspiration.

Our Meetup provides an opportunity to "Show and Tell" followed by feedback and Q&A. You'll have the opportunity to share with our channels such as Meetup, GitHub, YouTube, and Facebook to connect with more passionate people.

The second half of our session we'll collaborate on new topics. The winner wins an award for the most interesting topic and the opportunity to share in an upcoming session.