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)
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, Amazon Linux 2 - 64-bit Amazon Machine Image (AMI)
Datasaur is a comprehensive data labeling and extraction platform for Natural Language Processing (NLP). Datasaur helps machine learning teams better manage their labeling workforce and improve the quality of their training data. Our best-in-class software comes with ML-assisted labeling and...
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
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
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,...
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