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Names Entity Recognition - NER (18 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)


The Natural Language API is a powerful way to structure your unstructured data using deep language intelligence with minimal effort. Not only is the API able to use "disambiguation" to quickly analyze text for key elements, relations, classifications, and more, it can also determine sentiment and...


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


With YZR's API and collaborative AI platform: - Business experts spend much less time correcting, tagging and grouping textual data manually with a NLP-powered solution - Data and IT teams integrate faster and with more confidence automated textual data quality pipelines into ETLs, data lakes,...


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


Legal entity name extraction is an optimal way to identify and classify legal organization name and their aliases in an unstructured text. It can consume the texts such as legal documents and process it to identify all the legal entities/aliases in the document.

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


Legal entity ownership extraction is an NLP solution that helps identify and classify legal parent and subsidiary organization names in an unstructured text. The solution takes a text file as input. The text can be sourced from documents such as financial statements and legal documents. The...

Model Package - Fulfilled on Amazon SageMaker