Neuwo unique ontology achieved by natural language processing (NLP)
System that applies artificial intelligence, AI, strives to make decisions like a human.
Machine learning modeling which takes decisions made in the past, combined those to ones made today, to create a understanding far beyond static url analysis and keyword targeting
Building blocks of contextual AI
Neuwo’s proprietary technology is based on artificial intelligence and machine learning. With agile interfaces and widgets, we provide you with a turnkey solution to boost your business with rich data and targeted advertising.
Latest AI technology
Neuwo’s unique ontology has been created with extensive dataset and is continuously trained. Transfer Learning keeps ML (Machine Learning) modelling up to date and learns new viral phenomena as they emerge.
Utilizing advanced NLP (Natural Language Processing) Neuwo creates a human-like understanding of content. With our semantic analysis, the context can be accurately captured for content classification, contextual targeting and brand safety.
Solutions for publishers
Data = power. Neuwo’s solutions enrich the publishers’ data. With contextual AI and automatic content tagging, we help publisher to keep the readers on site and to monetize their content inventory.
Solutions for advertisers
Reaching the right audiences without cookies and IDs, Neuwo’s semantic technology finds relevant and brand safe marketing segments based on content.
Neuwo – A FLEXIBLE ARTIFICAL INTELLIGENT SOLUTION
How does Neuwo artificial intelligence work?
Machine learning model can be trained to make complex architectures and predictions through a mathematical process. With the right parameters the model can be tailored to perform artificial intelligence that meets the system needs
For an effective and user-friendly text analysis, the modeling and prediction processing must be able to control a wide range of keywords and the relationships between them. This network of keywords and the connections between them is called an ontology
Ontologies can be formed in a myriad of ways depending on the purpose and there can be several levels in the ontology hierarchy. When new concepts are added, the relationships with other concepts are also defined. The essential thing is to bring similar concepts together in a way that maintains clarity in the upper levels of the hierarchy
The base models are trained to understand the language at a high level so they can identify e.g. different contexts and synonyms. By utilizing proper history data for training, an effective, advanced model can be created for specific decision-making processes
NLP models can be considered consisting of two parts: the first part helps to understand the text generally and the second part makes it possible to utilize text understanding to a specific task. There are a different types of NLP models and a good way is to start with a suitable base model, and fine-tune it
Can we help you understand contextual technology or set up a free demo? We’re happy to talk!