Case Study: America's Worldwide News & Information Provider achieves visual insights from unstructured news data with Quantiphi's NLP Knowledge Graph

America's Worldwide News & Information Provider - Customer Case Study

America’s Worldwide News & Information Provider wanted to transform how users interacted with its data by building a product that could process large volumes of historical and streaming business news articles and surface hidden insights. To address the challenge of terabyte-scale unstructured text and the need to extract meaningful entities and relationships, the company partnered with Quantiphi on an NLP and knowledge graph initiative.

Quantiphi implemented a knowledge graph solution using Python, TensorFlow, BigQuery, named entity recognition, and deep learning to distill information from the client’s news platform. The result was a deployed system that could intuitively visualize answers to complex natural language queries and combine both historical snapshots and streaming articles into a single knowledge graph, improving insight discovery from unstructured news data.