Probabilistic topic modeling and Natural Language Processing

Mark Barley from Menome Technologies Inc. will be presenting on the use of probabilistic topic modeling and natural language processing in relation to the graph database neo4j. Menome Technologies Inc. is a Calgary Alberta Canada based organization whose mission is to help organizations fully realize the value of their data. Mark is a Calgary native interested in information theory and organizational science. After graduating from Western Canada High School in 2012 he went on to study Computer Science and Philosophy at the University of Calgary, graduating with a specialization in Multi Agent Systems. Mark has been a core contributor to Menome’s platform and philosophy since starting with us in May 2017.
Mark will lead us through an introduction to their process with some of the applied use-cases they have in production to represent a model in a graph database, and classifying new textual documents against that model to extract defining characteristics of that documents contents.
Article classifier
File harvester->File classifier
Graph operations post-processing of files

Mark will then give a demonstration using an open data source to provide some applied context from their corporate work to illustrate how topic modeling is used in real world use cases.

Hope to see you there. Presentation starts at 6:15 sharp.

p.s. Remember to connect to our slack workspace if you haven't already done so. We can be joined by following this link: https://join.slack.co...­

p.p.s. Our sli.do channel is #V613 - go to https://sli.do/... and enter V613 for the channel. You will then be able to post silent questions during the presentations.