Novetta is using deep learning to automate advanced analytic pipelines for our customers. These new capabilities identify important pieces of information across large text, image, and video data sets, a challenge faced by many of our Defense and Intelligence Community customers. We developed Argo, a standardized, Docker-based model training and deployment pipeline, to enable rapid evaluation and deployment of state-of-the-art deep learning models. Argo enables models to be deployed as endpoints and, when used with Amazon SageMaker, it forms the foundation for us to deploy, scale, and manage our deep learning models. Simplifying infrastructure setup through Docker and AWS allows…
Ebola in the Democratic Republic of Congo: Novetta Mission Analytics
How data analysis is helping mitigate the second largest outbreak in history.
The ongoing Ebola outbreak in eastern DRC has caused 1,522 deaths, making it the second largest in history. Understanding the causes and expressions of deep-seated local resistance to international response efforts is essential to shortening the outbreak and saving lives. Novetta is providing hands-on analysis via subject matter experts to our partners in the Ebola response community through the classification and analysis of sentiment and voice share in hyper-local and regional media content originating in the North Kivu Ebola hotspot. Novetta’s analysts identify distinct narratives and vectors of propagation from the voices of citizens, civil society stakeholders, Ebola response leadership,…
20% Accuracy Bump in Text Classification with ME-ULMFiT
Introduction In a previous post, we discussed an enhanced method of passing additional data to the ULMFiT1 algorithm for unstructured text classification, which improved accuracy by up to 9%. In follow-on experiments, we have demonstrated that this approach – in which we prepend metadata to the text to provide more information to the model – increased accuracy by up to 20%, in relative terms. This improvement required just a few lines of Python, such that the performance boost comes at essentially no cost. This blog post explains the findings of this more-detailed evaluation, where we have compared how the following…
Introducing Metadata Enhanced ULMFiT
Introduction Since its release in 2018, Novetta’s Machine Learning Center of Excellence has evaluated the performance of Universal Language Model Fine-Tuning (ULMFiT)1 against many customer use cases. We have found that automated labeling of unstructured text helps analysts be more efficient, freeing them up to focus on higher-value tasks. We have been so impressed with its accuracy that we have deployed ULMFiT against a dataset in a production system, with plans to expand it to dozens of other datasets. While ULMFiT’s performance has been impressive on all the datasets we’ve tested, we thought it could do more. Our first use…
State of the Art Text Classification with ULMFiT
Novetta’s Matt Teschke spoke at ODSC East – Boston in the session,”State of the Art Text Classification with ULMFiT” on May 2, 2019. The rise of the internet has led to a faster flow of information, where news posted to a relatively obscure blog can be shared on social media and reach national publications within hours. The volume of information is such that humans alone cannot filter out noise, identify important new viewpoints, and determine how messaging trends are changing over time. At Novetta, we are constantly evaluating advances in deep learning to help our customers…
Novetta has BIG PLANS for AWS re:Invent 2018
Novetta is excited to return to one of the world’s largest tech conferences, AWS re:Invent! This year there are even more ways to engage with us in Las Vegas. For the first time, Novetta will have leaders on stage in two speaking sessions, we are returning to our suite at the Venetian to give customized demos, and we are sponsoring two Worldwide Public Sector (WWPS) events. As in all great partnerships, Novetta and AWS are better together. Novetta’s advanced analytics technology is enhanced by AWS services and we are proud to offer our support, and contribute our expertise and innovation,…
Novetta Mission Analytics Ebola Case Study
A story of how Novetta Mission Analytics increased the velocity and completion rate of clinical studies in West Africa using data, strategic communications, and monitoring and evaluation. Click image to download.
NLP Transfer Learning on SageMaker
Novetta Machine Learning Center of Excellence effort to develop a deep learning model that predicts customer-relevant metadata tags for unstructured text. BACKGROUND: ENRICHMENT OF UNSTRUCTURED TEXT DATA The rise of the internet has led to a faster flow of information, where news posted to a relatively obscure blog can be shared on social media and then reach national publications within hours. The volume is such that humans alone cannot filter out noise, identify important new information, and determine how messaging trends are changing over time. To address this challenge, Novetta Mission Analytics (NMA) helps customers analyze open source and…
2018 Department of State (DoS) GEC Tech Demo Series
Novetta has been invited to participate in the Department of State’s GEC Tech Demo Series. September 26, 2018 2:00-3:30 PM Eastern Demonstration will feature Novetta Mission Analytics – Open Source/Media Analytics capabilities Presented by David Cyprian & Richard “Beach” Gray of Novetta Read our blog to learn more about Novetta Mission Analytics.
2018 NATO Information and Communicators’ Conference (NICC)
Each year, the NATO military structure hosts the NATO Information and Communicators’ Conference (NICC). This year’s conference will be held from 17 to 21 September 2018 in Rome, Italy. The theme of this year’s conference is Information Environment Assessment (lEA). The NICC is a five-day event, devoted to working groups of the communication disciplines, plenary sessions, and workshops. Attend our speaking session: Thursday, September 20, 2018 0900 Central European Time Room 2B Attendees will learn how to use a data-driven analytic framework to identify entity-centric patterns of behavior and uncover actionable intelligence. We will provide a use case utilizing this…
