Natural Language Processing for Insightful & Natural Text Analytics
Integrate Custom Analytics
Develop your own analytics platform with our deep learning models handling the backend legwork.
Domain Specific Deep Learning Models
Derive insights with domain specific models that have been fine-tuned for patents, scientific literature, and clinical trials.
Scientific Journal & Patent Interconnect
Tap into public datasets via our novel data fabric interconnect, where you can also incorporate your own private repositories.
Run real-time text analysis via programmatic interaction with our APIs.
Extract _____ Entities
(Include 1-2 sentence description)
Extract tokens and sentences, identify parts of speech and create dependency parse trees for each sentence.
Identify entities within documents — including receipts, invoices, and contracts — and label them by types such as date, person, contact information, organization, location, events, products, and media.
Custom Entity Extraction
Identify entities within documents and label them based on your own domain-specific keywords or phrases.
Identify synonyms or closely associated terms to expand comprehensivity of search
Content classification: Classify terms or a set of terms into overarching concepts within an industry.
Custom Content Classification
Create labels to customize models for unique use cases, using your own training data.
Train custom machine learning models with minimum effort and machine learning expertise.
Powered by Layar’s Domain Specific Models
Leverages state-of-the-art deep learning models, fine tuned with our Layar data sources to produce high-quality models.
Library of API commands for programmatic interaction.