Abstract: Embodiments are directed to computer-implemented methods of governance risk analysis and scoring of documents that includes: extracting raw text from documents; transforming individual words from the raw text into nodes and edges that create networks of nodes and edges; analyzing certain words pertaining to governance, and graphing the words to a network of nodes and edges; assessing the certain words in the network using mathematics, graph theory, or NLP; determining a semantic score for each node using the number and weight of edges surrounding each node; determining a saliency score based on a word's reoccurrence in the raw text; determining a risk sentiment score determined by the seed dictionary with the list of words exhibiting risk; determining a node score for a certain node based on the semantic score, the saliency score, and the risk sentiment score; and iterating the scores automatically every time a new filing is uploaded.