Machine Learning, Natural Language Meet to Understand Intent
Machine learning and natural language capabilities will bring the power of analytics to more people through semantics.
Sourced through Scoop.it from: www.informationweek.com
Machine learning and natural language capabilities will bring the power of analytics to more people through semantics.
Sourced through Scoop.it from: www.informationweek.com
One of the greatest challenges we face in the digital generation is building the bridge between the abilities of the human thought process and the possibilities that lie within autonomous technology, particularly how we teach our human-like understanding of words in context to machines. Natural language processing (NLP) is a step towards developing this autonomous ‘thinking’ capability.
Sourced through Scoop.it from: www.information-age.com
This article takes a look at how Natural Language Processing is automating the complete text analysis process for enterprises. Also look at topics and grammar.
Sourced through Scoop.it from: dzone.com
One thing common with these tech giants is their willingness to open source their innovations. These range from sentiment analysis to text categorization
Sourced through Scoop.it from: www.analyticsindiamag.com
Many programs such as chatbots and virtual assistants are made possible through the use of natural language processing or NLP
Sourced through Scoop.it from: www.information-age.com
Natural Language Processing has been on the rise — from simple text to speech conversion to powering intelligent voice assistants, we have seen various applications of NLP. Voice assistants like Siri and Alexa have become widely popular among users. Today, NLP has become a core component of all search engines. NLP for Business In the…
Sourced through Scoop.it from: www.analyticsindiamag.com
Neuro-linguistic programming (NLP to its friends) has rocketed into the wellbeing zeitgeist, without much of an introduction.
Sourced through Scoop.it from: www.standard.co.uk
Facebook has shared an implementation for cross-lingual language model pretraining with the machine translation community to get NLP to the next level.
Sourced through Scoop.it from: devclass.com