March 14th, 2022

Vaccine NLP

RSS icon RSS Category: H2O AI Cloud, Healthcare

A population and public health NLP solution from Health

Powered by NVIDIA GPUs and NVIDIA AI

Social media platforms such as Twitter and Reddit have become invaluable tools for communication between individuals or groups and are widely used globally. As messages on these platforms can instantly be accessed by all users and remain on communication threads until deleted, specific messages have been and will continue to influence individual opinions towards many topics, including vaccination for a considerable amount of time.

Unfortunately, these platforms have fostered a rise in the spread of unsubstantiated and false information regarding vaccination, leading to reduced uptake for vaccines in individuals or for their children. In addition, vaccine misinformation shared on these platforms has contributed to an increase in vaccine hesitancy and, in certain instances, vaccine preventable disease outbreaks in unvaccinated populations. Actively monitoring conversations around vaccination sentiment on social media platforms and swiftly addressing misinformation is critical to prevent translation into vaccine hesitancy or disease outbreaks.

Several studies have been conducted to analyze vaccine-related social media messages. They found that most vaccine-related tweets expressed confidence in vaccines, their safety, and the system that delivers them, while a very small minority (<5%) expressed a lack of confidence. While the percentage of messages expressing lack of confidence is relatively low, it has been shown that a small group can play an effective and outsized role in spreading misinformation through misleading narratives and thus hinder people’s ability to judge the true risks associated with vaccines.

We propose to build on the current study in the following ways:

  1. Omni-channel trending, topic, and sentiment analytics and AI
  2. Global applicability and comparative trends across locations
  3. Monitor data and sentiment over time with real-time knowledge creation
  4. Ensuring interpretability, explainability, and transparency of the NLP models
  5. Creating a dashboard to monitor (mis)information across channels and diverse platforms

We are continuing to work on implementing statistical metrics and NLP with purpose-built deep learning to track vaccine hesitancy, a project that is essential to informing citizens, public health professionals, and pharmaceutical real-world evidence teams. It also aims to contribute to medical and patient education, and external stakeholder empowerment. This work is already providing invaluable insights to internal cross-functional teams/leaders – as well as healthcare professionals and public health authorities – to mitigate misinformation on vaccines and to improve our global public health campaigns.

Vaccine NLP is powered by the H2O AI Cloud: Driverless AI AutoML, H2O-3, MLOps, and Wave©, as well as by NVIDIA GPUs.

About the Author Team

At, democratizing AI isn’t just an idea. It’s a movement. And that means that it requires action. We started out as a group of like minded individuals in the open source community, collectively driven by the idea that there should be freedom around the creation and use of AI.

Today we have evolved into a global company built by people from a variety of different backgrounds and skill sets, all driven to be part of something greater than ourselves. Our partnerships now extend beyond the open-source community to include business customers, academia, and non-profit organizations.

Leave a Reply

H2O LLM DataStudio Part II: Convert Documents to QA Pairs for fine tuning of LLMs

Convert unstructured datasets to Question-answer pairs required for LLM fine-tuning and other downstream tasks with

September 22, 2023 - by Genevieve Richards, Tarique Hussain and Shivam Bansal
Building a Fraud Detection Model with H2O AI Cloud

In a previous article[1], we discussed how machine learning could be harnessed to mitigate fraud.

July 28, 2023 - by Asghar Ghorbani
A Look at the UniformRobust Method for Histogram Type

Tree-based algorithms, especially Gradient Boosting Machines (GBM's), are one of the most popular algorithms used.

July 25, 2023 - by Hannah Tillman and Megan Kurka
H2O LLM EvalGPT: A Comprehensive Tool for Evaluating Large Language Models

In an era where Large Language Models (LLMs) are rapidly gaining traction for diverse applications,

July 19, 2023 - by Srinivas Neppalli, Abhay Singhal and Michal Malohlava
Testing Large Language Model (LLM) Vulnerabilities Using Adversarial Attacks

Adversarial analysis seeks to explain a machine learning model by understanding locally what changes need

July 19, 2023 - by Kim Montgomery, Pramit Choudhary and Michal Malohlava
Reducing False Positives in Financial Transactions with AutoML

In an increasingly digital world, combating financial fraud is a high-stakes game. However, the systems

July 14, 2023 - by Asghar Ghorbani

Ready to see the platform in action?

Make data and AI deliver meaningful and significant value to your organization with our state-of-the-art AI platform.