Text Analysis
Extract linguistic structure, keywords, topics, sentiment, entities and relationships from unstructured text.
Advanced NLP, semantic annotation and document intelligence for transforming unstructured text into meaningful, machine-readable information. Core NLP Pipelines,Tokenization, Part-of-Speech (POS) tagging, dependency parsing, and coreference resolution.
A complete set of language intelligence services for understanding, enriching and extracting knowledge from documents and text.
Extract linguistic structure, keywords, topics, sentiment, entities and relationships from unstructured text.
Enrich documents with concepts, entities, classifications and semantic relationships using configurable annotation models.
Identify people, organizations, locations, products, dates, references and domain-specific entities.
Analyze contracts, legislation, case law and regulatory documents to identify clauses, obligations, references and legal concepts.
Automatically categorize documents and passages according to custom taxonomies and domain-specific classification models.
Generate concise representations of lengthy documents while preserving the most relevant information and concepts.
Process contracts, regulations, judgments and other legal documents using semantic models designed for complex textual and regulatory information.
Access the analysis engine through a simple REST API and integrate NLP and semantic processing directly into your existing systems.
{
"text":
"The agreement shall remain...",
"operations": [
"entities",
"concepts",
"relations",
"classification"
],
"language":
"en"
}
Start analyzing text, enriching documents and extracting semantic knowledge through a single intelligent platform.
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