A leading UK construction intelligence provider, part of a £350m global information business, required detailed coverage of all current and upcoming UK construction projects, with accurate and full data at every stage of the project.

The client provides B2B intelligence, sector and regional analysis to the public sector, government organisations and private sector.

Read the full case study to know how we extracted Materials and contacts text mining using NER.

NER
  • 01 /

    High-Speed Machine Learning Image Processing and Attribute Extraction for Fashion Retail Trends

    A world-leading authority on forecasting consumer and design trends had the challenge of collecting, aggregating and reporting on millions of fashion products spanning multiple categories and sub-categories within 24 hours of them being published online.

  • 02 /

    Enhancing News Relevance Classification Using NLP

    A leading global B2B sports intelligence company that delivers a competitive advantage to businesses in the sporting industry providing commercial strategies and business-critical data had a specific challenge.