Content Understanding focuses on creating innovative, web-scale solutions for the whole range of content processes including text mining, classification and clustering, structured and unstructured information extraction, and summarization.
Powered by our brands’ massive repository of multimedia content, we research and innovate on some of the most interesting real-world problems in image and video understanding, including object recognition, augmented-reality, visual aesthetics, and creativity.
We handle a lot of text: from mail and news, to travel reviews, user comments, and the whole web. Finding and extracting information in it requires research in big data, NLP, machine learning, and user interfaces.
Machine Learning is core to our products. Our researchers and engineers develop and deploy large scale ML and deep learning algorithms on one of the largest grid computing platforms in the world.
Natural Language Understanding (NLU) and Dialogue Management encompasses statistical natural language understanding, dialogue planning, and understanding across multiple turns. We use various statistical, machine learning, and ontological approaches to develop deep semantic understanding of conversational language. Our deep NLU research works with our large-scale content understanding efforts to enable a broad range of analysis, personalization, and natural language assistance across Verizon Media products.
We turn business problems into well-defined mathematical optimization problems, then solve them with state-of-the-art algorithms from big data statistics, machine learning, control theory, and more.
We investigate new ways of understanding users based on their daily interactions with our unmatched set of products, including some of the web's most popular news services, finance and sports applications, and one of the largest email services in the world.