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Names Entity Recognition - NER (18 results) showing 1 - 10



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)


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 $1.00/hr for software + AWS usage fees

Fast and feature-rich Geocoding API to support address search, address completion, and reverse coordinates to address conversion at scale.

Linux/Unix, Ubuntu Ubuntu Server 20.04 LTS - 64-bit Amazon Machine Image (AMI)


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...


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

Free Trial


Named Entity Recognition (NER) is a subtask of information extraction that seeks to locate and classify named entities in text into predefined categories such as the name of a person, location, time, quantity, etc. Chatbot NER is heuristic based that uses several NLP techniques to extract necessary...

Model Package - Fulfilled on Amazon SageMaker

Free Trial

  • Version v1.0
  • Sold by UNBXD

Unbxd AI NER can be used to extract the underlying user intent on Fashion eCommerce sites or enriching any form of short text with eCommerce intent. Unbxd AI model can detect entities like Brand, Color, Category, Sub-Category, Gender, Size, and Pattern.

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