Syl Search Machine Learning Project

Ian Rogers
Dec 29, 2021 9:18:00 AM

As we approach the end of 2021 I thought a short update on our development project might be worthwhile. We have now incorporated the Latent Dirichlet Allocation (LDA) into topic modeling within Syl Search which can be used to classify text in a document to a particular topic.

To date, we have only tested this with relatively small corpuses but initial results are encouraging. The LDA will run through the corpus and return a set of topics into the single pane of glass for Syl Search which then prompts users to search for the documents containing those topics. 

About TEAM IM

TEAM IM is a global enterprise solutions and technology company. Utilizing best-in-class technologies to put unstructured data to work, TEAM has successfully implemented thousands of business solutions across a diverse spectrum of organizations of varying sizes and industry focus. TEAM’s offerings include expert professional services, managed support services, custom development, and solutions in many areas, including Content Management, Records Management, Workflow, Analytics, and Collaboration. TEAM has offices across the globe, with resources in every discipline and service offering available to support you, wherever you’re located. For more information, visit our website

You May Also Like

These Stories on TEAM IM

No Comments Yet

Let us know what you think