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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...
Named Entity Extraction API can identify and extract individuals, places, animals, plants, historical figures, monuments, organizations, and other various types of entities from a given body of text. As an output, the API lists different named entities across different categories like name, place,...
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
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
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