KEEPS ON GROWING
125,000 taxonomy models curated over 7 years and continuously growing
Our taxonomy collection is continuously being updated in real-time to bring you the industry's best classification accuracy for your selected content.
Rumors & Speculation
Extracts and links entities
Spam Detector Model
Removes false positives
Assesses context to confirm true positives
Purpose built for Financial Services
Accurate, faster, cheaper NER with taxonomies
Name Entity Recognition (NER) with the highest accuracy and better operational efficiencies(faster and cheaper) than NER with just Deep Learning models.
NER with deep learning is difficult and costly
Requires a training data set that may not be available or easy to acquire Deep Learning cloud compute infrastructure. It is also very expensive to operate, which takes a lot of time and money
Tune & BYO Taxonomy
Simply tune our catalog or upload keywords – we make it easy to customize with suggested keywords to optimize your list. In addition, Expansion Rules, Lucene Queries and Exclusions further accelerate the building process.
NER with taxonomies is faster and cheaper
No need for large volumes of training data – Just start by adding keywords. Easy to customize, maintain – just continue to add and refine keywords.
BYO & Upload Training Data
Need even higher levels of accuracy? Upload your training data so we can further increase model accuracy for you.
Enhance your workflow with Accern in minutes
2. Select NLP Models
For financial services and beyond
NLP Apps into any workflow
LEARN & GROW
Accern Bringing No-Code NLP to Enterprise