Elder Research developed a data organization and search solution in partnership with the American Health Care Association and the National Center for Assisted Living (AHCA/NCAL), streamlining access to complex regulatory documents.

Automating the analysis of text data from multiple sources made the work of sifting through huge databases and incoming data streams intuitive, and efficient. Reliable event reports enabled analysts to validate incidents of animal disease and make timely recommendations for dealing with them.

Elder Research built a web crawler deployed to AWS and used text analytics to help a large international charity identify collections of key themes describing each sub-community within their intranet and organize these sub-communities into larger groups.

Elder Research built a weakly supervised text sentiment classifier for economic indicators using the latest Natural Language Processing tools.

Elder Research built an end-to-end text mining and document classification solution in the client’s AWS cloud to extract CPA Findings from audit reports.

Elder Research created a text mining framework to unlock valuable applicant information from scanned images to improve an insurance underwriting risk model.

Elder Research text mined survey data and provided exploratory and predictive analysis to identify insights and trends that affected conference attendance. This helped guide the client’s conference content programming and global conference planning.