SEMANTIC VS. KEYWORDING
TRADE IN SERIOUS KEYWORD LIMITATIONS FOR THE ACCURACY OF SEMANTIC ANALYSIS.
MULTISCORING
As generic keywords aren’t enough to understand content meaning, Qwarry has developed a hyper-contextual technology capable of fully understanding the editorial content of a page and providing a better memorization of your message regardless of the ad format.
BRAND SUITABILITY
Our technology makes the distinction between positive and negative content to guarantee your campaigns are displayed in appropriate and brand safe environment.
Our brand suitability algorithm analyses the content of the article and kicks out all articles with a negative emotional severity.
Qwarry workflow
Web crawling
Dynamic databases
Proprietary Machine-Learning Framework
Semantic scoring
NLP & NLU
We have developed proprietary algorithms around two main branches of automatic language processing which are at the crossroads between Linguistics, Computing and Artificial Intelligence.
NLP
NLP at Qwarry involves extracting, cleaning and world ordering by focusing exclusively on the literal interpretation of what humans say or write.
NLU
NLU aims to deepen understanding and is a sub-part of NLP that primarily focuses on improving the ability to understand the meaning behind words and texts and identify the deep meaning of what is being said or written.
To learn more about our deep learning system, watch this interview of Tahar, Data Scientist at Qwarry.