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Names Entity Recognition - NER (34 results) showing 1 - 10



THE PRICING ON THIS LISTING IS A PLACEHOLDER AND NOT THE REAL PRICE. Contact us for a special offer and pricing for your use case if you: - would like a free trial - would like to discuss pricing for your deployment - need to run a container for extended periods of time - are interested in...


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)

Free Trial


Jurassic-2 Light is the quickest large language model (LLM) by AI21 Labs and is available for you to deploy in your private environment. Small but mighty, Jurassic-2 Light is ideal for simple language tasks that require maximum affordability and minimal latency in your private environment. Common...

Model Package - Fulfilled on Amazon SageMaker


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...


This is a Named Entity Recognition model built upon a Transformer model from [Hugging Face](https://huggingface.co/elastic/distilbert-base-uncased-finetuned-conll03-english). It takes a text string as input and predicts named entities in the input text. The deployed model can be used for running...

Model Package - Fulfilled on Amazon SageMaker


Starting from $1.38/hr or from $10,000.00/yr (17% savings) for software + AWS usage fees

UBIAI enables companies to label data, manage their team, train NLP models and deploy them in production with a click of button. Using UBIAI model-assisted labeling, companies can save up to 80% of manual annotation time while generating high quality labeled dataset. Our data labeling platform...

Linux/Unix, Ubuntu 2023 - 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

Free Trial


This model specializes in identifying key risk factors such as Coronary Artery Disease, Diabetes, Family History, Hyperlipidemia, Hypertension, Medications, Obesity, and Smoking Habits in clinical documentation. Designed for precision, it assists healthcare professionals in crucial risk assessment...

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

Free Trial


This model is engineered for the extraction of adverse drug events (ADEs) from unstructured clinical texts, leveraging several components finely tuned for this purpose: - Entity Recognition: Initially, the model accurately identifies entities related to adverse events (such as rash, nausea) and...

Model Package - Fulfilled on Amazon SageMaker