Convert all your documents to electronic format, enabling them for uses such as text search and information extraction.
Make your searches more productive with support for queries based on concepts rather than keywords, executed at scale.
Extract structured information from documents to drive more finely targeted searches and other downstream applications.
Document Ingestion
Digitize and categorize documents in an online repository
Your documents can get a new life when digitized and incorporated into an online repository. Contata can assist in the creation of such a repository, ingesting documents at scale, applying OCR If necessary, and then running classification algorithms to put them into specific categories defined in your ontology.
Fast Concept Level Searching
Search by terms and synonyms etc.
Searching on documents based only on keywords alone can be a hit-and-miss process, necessitating several attempts with alternative phrasing the target documents may include. Contata can make searches more convenient and productive by enabling queries incorporating concepts rather than keywords, making searches more productive.
Information Extraction
Identify and extract values for key informational elements in documents
Knowing that a document is an office lease, for example, does not go as far as knowing also who the parties are, and what the specifics of the property and rent agreements are. Contata can train algorithms to extract such meaningful information automatically and append this structured information to be used by downstream applications.
Use Cases
Document Ingestion
Ingest documents at scale to create an online digital repository
Categorization
Automatically classify documents by categories to organize your content
Information Extraction
Extract names places and other information to create metadata for your documents
Concept Searching
Enable documents for searches not just be keywords, but the concepts they represent
Similarity Searching
Find documents like a targeted one for uses such as removing similar or duplicate content
Document Clustering
Find groups of related documents to discover breadth of topics in your library
Concept Embeddings
Compute space embeddings for documents to enable them for concept level searches
Content Summarization
Create summarization of longer documents for easier consumption of content
Topic Detection
Find topics covered by a set of documents automatically.
Chatbot Training
Train chatbots to conduct meaningful interactions on specific topics and actions
Sentiment Detection
Find the sentiment level of social posts or other documents.
Language Translation
Perform automatic translation of documents into language of choice