Presented By O'Reilly and Cloudera
December 5-6, 2016: Training
December 6–8, 2016: Tutorials & Conference

Text conference sessions

11:15am–11:55am Thursday, 12/08/2016
With the rise of deep learning, natural language understanding techniques are becoming more effective and are not as reliant on costly annotated data. This leads to an explosion of possibilities of what businesses can do with language. Alyona Medelyan explains what the newest NLU tools can achieve today and presents their common use cases.
5:05pm–5:45pm Wednesday, 12/07/2016
Matt Winkler and Jennifer Marsman explain how to easily extend your apps and services with bots to reach users where they are—in messaging apps—covering use cases and case studies, how to quickly get started building a bot, how to process input using linguistic analysis, and how to deploy and integrate bots with messaging apps.
4:15pm–4:55pm Thursday, 12/08/2016
Ofer Ron examines the development of LivePerson's traffic targeting solution from a generic to a domain-specific implementation to demonstrate that a thorough understanding of the problem domain is essential to a good machine-learning-based product. Ofer then reviews the underlying architecture that makes this possible.
5:05pm–5:45pm Thursday, 12/08/2016
Ever wondered how Google Translate works so well, how the autocaptioning works on YouTube, or how to mine the sentiments of tweets on Twitter? What’s the underlying theme? They all use deep learning. Bargava Subramanian and Amit Kapoor explore artificial neural networks and deep learning for natural language processing to get you started.
12:05pm–12:45pm Thursday, 12/08/2016
Looking for advice on text analysis and practical applications of Natural Language Understanding? Alyona can help.
12:05pm–12:45pm Thursday, 12/08/2016
Chi-Yi Kuan, Weidong Zhang, and Yongzheng Zhang explain how LinkedIn has built a "voice of member" platform to analyze hundreds of millions of text documents. Chi-Yi, Weidong, and Yongzheng illustrate the critical components of this platform and showcase how LinkedIn leverages it to derive insights such as customer value propositions from an enormous amount of unstructured data.