Signals from outer space

Crosspost von der MLDD - Machine Learning Dresden Gruppe
Bitte auch hier anmelden:
https://www.meetup.com/MLDD-Machine-Learning-Dresden/events/249384166/

We'll be back on 8th of May with the 5th iteration of #MLDD - "Signals from outa space". Vlasta Kus (https://cz.linkedin.com/in/vlastakus) will talk about the advantages of graph-based natural language processing (NLP) using a public NASA dataset as example. From his abstract: "[...] we are building a platform (from large part open-source) that integrates Neo4j and NLP (such as Named Entity Recognition, sentiment analysis, word embeddings, LDA topic extraction), and we test and develop further related features and tools, lately for example integrating Neo4j and Tensorflow for employing deep learning techniques (such as deep auto-encoders for automatic text summarisation)."

Vlasta holds a Ph.D. in Physics from the Charles University in Prague and has worked for SecureOps, as a freelance Data Scientist, and since 2017 as a Data Scientist at GraphAware (https://graphaware.com/), a London-based company that builds solutions around Neo4j.