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Names Entity Recognition - NER (11 results) showing 1 - 10



hyScore.io is an independent provider of innovative Natural Language Processing (NLP) solutions in multiple languages combined with AI and Machine Learning (ML). With hyScore analyze you use a NLP solution that provides valuable insights from any text or website in real-time as a structured JSON...


Starting from $1.00 to $2.00/hr for software + AWS usage fees

Scan text for locations, extract addresses, street intersections, postal codes, zip codes and place names. Geocode the extracted locations into Latitude,Longitude,Elevation and export the results as GeoJson, Json, XML or CSV. Reverse geocode coordinates to addresses, place names, postal codes, zip...

Linux/Unix, Amazon Linux Any - 64-bit Amazon Machine Image (AMI)


Rosette Enterprise with language identification, morphology, entity extraction, etc.

Linux/Unix, Amazon Linux v1 - 64-bit Amazon Machine Image (AMI)


Mphasis DeepInsights Geopolitical Entity Recognizer is an efficient way of identifying geopolitical entities present in the corpus of text. This solution applies NLP techniques to extract the geopolitical entities which can be used for providing useful insights about the text and further text...

Model Package - Fulfilled on Amazon SageMaker


This solution identifies and anonymizes Personally Identifiable Information like Name, SSN, Email, Phone numbers from tabular data. The Solution is designed to work on structured data source.

Model Package - Fulfilled on Amazon SageMaker


This solution helps users automate the coherent summary generation from documents. It identifies frequently used entity clusters in the document to capture salient and most important candidate sentences. An abstractive summary is generated from these sentences using reinforcement learning to...

Model Package - Fulfilled on Amazon SageMaker


This solution creates a knowledge graph based on entity-name pairs from data collected from multiple sources of information such as Wikipedia, company's website, CrunchBase etc. This solution creates a graph model of a company's profile based on unstructured data.

Model Package - Fulfilled on Amazon SageMaker


Mphasis DeepInsights Named Entity Recognizer is an efficient way of identifying named entities present in the corpus of text. This solution applies NLP techniques to extract the named entities which can be used for further text analytics and for providing useful insights about the text. The model...

Model Package - Fulfilled on Amazon SageMaker

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This SageMaker model package provides a REST api to detect named entities in US English sentences. The API accepts input as JSON and identifies entities in an input text array. We welcome your feedback at aws-support@sigmodata.com. To see a notebook with usage instructions go to...

Model Package - Fulfilled on Amazon SageMaker


Philter Managed Deployment simplifies the deployment of Philter to find and remove sensitive information from text. An AWS certified professional engineer will provision a HIPAA-compliant architecture leveraging encryption of all data at rest and in motion containing a highly-available and scalable...