Technical service highlights
As the volume of business data increases exponentially, companies find it harder to make sense of the vast amount of information. NRC’s text analytics team can help you extract information from this textual data (explicit, implicit and inferred information), composite information (summaries), subtext information (sentiment, sarcasm, metaphor) and meta-information.
Our innovative capacity and technical competence in machine learning methods and (big-) data-oriented methods have resulted in world-leading research. We have collected multiple first-place rankings in text analysis research challenges such as i2b2 NLP for Clinical Data and the Sentiment Analysis track of SemEval.
What we offer
The text analytics team works closely with clients towards problem-driven and data-driven innovations in all stages of clients’ information processes: extracting computable data from large amounts of unstructured or semi-structured text, transforming and visualizing that data into information and knowledge, and detecting or corroborating connections, events and trends.
Why work with us
Our experts have extensive experience and knowledge of innovative text analytics tools, and know how and when to best apply the appropriate techniques.
We collaborate with clients and partners from industry, academia and government to develop technologies that address their needs. NRC has prominent competencies in:
- Agile software development
- (Bio)medical language analytics
- Computational linguistics
- Data visualization
- Distributional semantics
- Human language technologies
- Information extraction
- Information retrieval
- Machine learning
- Situational awareness
- (Social) media analytics
- Statistical natural language processing
- Summarization and meta-analysis text mining
- Web mining
- Wiki technologies
If you're interested in developing or using learning technology solutions, accessing our world-class expertise and research facilities, or collaborating with our information and communications experts, contact: