What sorts of things will it be able to do that it now cannot?Currently, NLP methods are widely used in many fields such as health care, finance, predicting voting intentions, entertainment, marketing, and security and defence applications.
In the future, the rapid advancement of technology will change the way humans and machines operate.
The rise of wearable technologies, such as glasses, smart watches, healthcare devices, fitness trackers, sleeping monitors, and other devices will influence social media and communication.
For example, health care applications are among the focal areas of wearable technologies.
Microsoft, Google, and Apple have released their own health platforms, with which doctors and other health care professionals can monitor data, text, and voice collected via the patients wearable technology.
It seems that NLP techniques and applications will be more and more necessary to analyze data in the future, integrated with multi-media processing techniques.
Thank you, Anna! Kevin Gray is President of Cannon Gray, a marketing science and analytics consultancy.
He has more than 30 years’ experience in marketing research with Nielsen, Kantar, McCann and TIAA.
Kevin also co-hosts the audio podcast series MR Realities.
Dr.
Anna Farzindar is a faculty member of the Department of Computer Science at the University of Southern California.
She was CEO and co-founder of NLP Technologies Inc.
, a company specializing in Natural Language Processing, and was Adjunct Professor at the University of Montreal and Honorary Research Fellow at the Research Group in Computational Linguistics at the University of Wolverhampton, UK.
She received her PhD in Computer Science from the University of Montreal and her Doctorate in linguistics, mathematics and logic from Paris-Sorbonne University.
Dr.
Farzindar is co-author of the book Natural Language Processing for Social Media (2015 and 2nd Edition 2018) and has published numerous papers on NLP and its applications.
Related: var disqus_shortname = kdnuggets; (function() { var dsq = document.
createElement(script); dsq.
type = text/javascript; dsq.
async = true; dsq.
src = https://kdnuggets.
disqus.
com/embed.
js; (document.
getElementsByTagName(head)[0] || document.
getElementsByTagName(body)[0]).
appendChild(dsq); })();.