Deep Learning and Natural Language Processing Webinar

This talk will give an in-depth introduction of deep learning for text classification in order to illustrate the key algorithms, datasets, and best practices to use while working with text. In order to fully convey this information, we will be stepping through a classification tutorial in Python*.

Key takeaways include:

  • Text transformations.
  • Examples of how to use deep learning for natural language processing tasks.
  • Introduction to Intel’s NLP Architecture open source project.
  • Sentiment analysis tutorial.

Required Fields(*)

By submitting this form, you are confirming you are an adult 18 years or older and you agree to share your personal information with Intel to use for this business request. You also agree to subscribe to stay connected to the latest Intel technologies and industry trends by email and telephone. You may unsubscribe at any time. Intel’s web sites and communications are subject to our Privacy Notice and Terms of Use.

About Our Speaker

Anna Bethke

Deep Learning Data Scientist, Intel Corporation

Anna Bethke is a Deep Learning Data Scientist at Intel within AIPG where she is leading the AI4Good efforts and researching deep learning algorithms for natural language processing. This research includes investigating problems such as text summarization, sentiment analysis, and question-answer systems. Prior to Intel, she was a data science consultant at Lab41, and a geo-spatial data analyst at MIT Lincoln Laboratory. Outside of work, she is a volunteer data lead with Delta Analytics, applying her NLP knowledge for social good. She received an M.S in aerospace engineering from MIT in 2009 and is passionate about finding the most reliable and understandable way of letting an end user learn more about their data.