Patent ID: 9454528
Filing Date: 2016-09-27
CPC Classification: G06F

Claim Text:
1. A method for creating an ordered reading list for a set of documents: (a) analyzing a corpus of the document set in accordance with preselected text analytics and natural language processing steps for creating a topic model, each topic being based on a collection of words frequently appearing together throughout the corpus; (b) after identifying the topics, clustering the document set into a plurality of cluster groups by topic, each cluster including related documents about a specific topic; (c) calculating a probability distribution across the topic model that a particular topic describes a given document based upon the occurrence of the keywords in the document; (d) determining relevant documents in a cluster including removing from the cluster the documents associated with a probability distribution falling below a predetermined threshold, and (e) determining relevant information in a document by repeating steps (a)-(d) to individual paragraphs of the document to identify redundant information in the document; and (e) generating the ordered reading list for the related documents of the cluster based on the relevance of the each related document; and (f) for each document on the list, associating a visual que with non-redundant information in the each document to indicate which paragraphs of the each document contain the relevant information.