Recent advances in NLP and how they impact trading

"Researchers and financial practitioners alike are attempting to find meaningful applications for the newest advents in the field of natural language processing (NLP). Although language modelling for stock trading is not novel, the landscape has changed significantly in recent years. With the i...

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Bibliographic Details
Other Authors: Rockwell, Brittany, on-screen presenter (onscreen presenter)
Format: Online Video
Language:Inglés
Published: [Place of publication not identified] : Data Science Salon 2018.
Subjects:
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009820442906719
Description
Summary:"Researchers and financial practitioners alike are attempting to find meaningful applications for the newest advents in the field of natural language processing (NLP). Although language modelling for stock trading is not novel, the landscape has changed significantly in recent years. With the improvements of computational power, data storage and algorithmic efficiency, we have more data and modelling capacity at our disposal than ever before. A natural consequence of these changes is the exponential growth of available data. There is a growing need for automating the data exploration and identification process for low-latency downstream applications requiring timely forecasting or decision making. This talk will discuss some of the new advances in NLP and their relevance to text-driven trading."--Resource description page.
Item Description:Title from resource description page (Safari, viewed November 3, 2020).
Physical Description:1 online resource (1 streaming video file (30 min., 18 sec.)) : digital, sound, color