Fast & Accurate Insights From Unstructured Data
10 Reasons Why Accern NoCodeNLP
01
No Code. No Complexity.
With Data Science talent increasingly difficult to find, empower your business experts and citizen data scientists – no coding, no data science background needed to use Accern.
02
Pre-assembled Data Sources
Avoid delayed projects, waiting for procurement – simply click to select popular data sets pre-assembled within the Accern Platform.
03
Pre-built Taxonomies
Use our taxonomy catalog of over 60,000 companies, 250 events / themes / topics purpose built for financial services so that you enjoy 96.5% accuracy.
04
Accelerate ROI
Enhance predictive models by structuring unstructured data. Enable data science teams to have complete control, customize end to end workflows – no closed systems, just mix and match to fit your needs.
05
Reduce Risk
85% of Data Science projects fail. DIY NLP projects
often take 1 year and $1Million+. Use Accern to
quickly and cost-effectively discover workflows and models that work.
06
Lower Cost
Accern Name Entity Recognition (NER) with
Taxonomies is more efficient than NER with only
Deep Learning models. Accern models run faster
and use fewer compute resources.
NER with Taxonomies is easier, faster and cheaper
No need for large volumes of training data – Just start by adding keywords
– just continue to add and
refine keywords
Deep Learning based
models
NER with Deep Learning
is difficult and costly
Because the Accern NoCodeNLP Platform is a plug and play solution, we did not spend cycles on integrating our data sources, dashboards, and business applications. Accern took care of it all.
Head of Data Center, Major Insurance Provider
07
Lower Costs even more
Our taxonomies have been curated, updated and continuously maintained over 5+ years with more than 1,000,000 rows of training data. Reduce your costs even more – let us update and maintain 100,000 labels including 60,000 companies out-of-the-box with related people, products, locations, and more using our:
a) Core Taxonomy Model – extracts and links entities
b) Spam Detector Model – removes false positives
c) Verification Model – assesses context to confirm true positives
08
Better Explainability
Keywords and associated rules are easy to see
and modify, making NER models with
Taxonomies easy to understand.
09
Tune & Train
Need a custom taxonomy? Upload keywords and
let our AI help with more suggestions. Need
custom context for even higher accuracy?
Upload training data so we can further increase
accuracy for you.
10
Dedicated to Your Success
We love our work and we love seeing you see
results. We do everything in our power to make sure
you become the Hero of your Story.
Latest Resources
White Paper
A Benchmark of Popular Sentiment
Analysis Models on Financial News
Blog
Coding for No-Code NLP
Blog
Building Vs. Buying an AI Solution