Abstract: Disclosed herein are systems, devices, and methods for translating natural language queries into data source-specific structured queries and automatically identifying visualization options based on the result of executing a structured query. In one embodiment, a method comprises receiving a natural language query; generating one or more interpretations based on the natural language query using one or more natural language processing procedures; generating a structured query based on the one or more interpretations, the structured query generated based on an identified data source type; executing a search on the data source using the structured query, the execution of the search resulting a result set; identifying a visualization type based on a type of data included within the result set; and generating a visualization based on the visualization type and the result set.

Abstract: Disclosed herein are embodiments of systems, devices, and methods automated document analysis and processing using machine learning techniques. In one embodiment, systems and methods are disclosed for automatically classifying documents. In another embodiment, systems and methods are disclosed for identifying new tags for untagged documents. In another embodiment, systems and methods are disclosed for identifying documents related to a target document.