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1. A method, comprising: extracting first entity-related data from a first document; determining an entity based on the first entity-related data; determining at least one entity performance indicator for the entity based on the first entity-related data; identifying a first author of the first document: generating an entity performance score based on the at least one entity performance indicator; generating a semantic summary regarding the entity based on the at least one entity performance indicator, comprising translating, via machine learning, at least one quantitative aspect of the at least one entity performance indicator into a natural language summary included in the semantic summary; generating and transmitting a user interface configured to display an entity scorecard to a computing device associated with the first author of the first document, the entity scorecard comprising the entity performance score, the semantic summary, and a relationships widget that includes a list of engagement names of persons who previously engaged with the entity; detecting a second document comprising second entity-related data created by a second author, the second entity-related data relating to the entity; extracting second entity-related data from the second document; updating the entity performance score based on the second entity-related data; and updating the entity scorecard based on the updated entity performance score, wherein updating the entity scorecard includes updating the list of engagement names to include a name of the second author.
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