公开(公告)号：US20190286753A1

公开(公告)日：2019-09-19

申请号：US16148340

申请日：2018-10-01

申请人： Thomson Reuters Global Resources Unlimited Company

发明人： Yue Feng ,  Brian Romer ,  David Reed ,  Omar Bari ,  Hella-Franziska Hoffmann ,  Amit Shavit ,  Song Qiaoqi ,  Johannes Schleith ,  Isaac Kriegman ,  Amir Hajian Forushani ,  Shiqi Li ,  Nick Jarema

IPC分类号： G06F17/30

摘要： The present disclosure relates to methods and systems for ingesting content from data feeds and to generate an enhanced output of relevant content for presentation to a user to facilitate analysis of the relevant content. Content is received from data feeds, and filtered to identify relevant content with respect to a particular context. The relevant content is then processed, e.g., using natural language processes, to extract entities involved, and to also identify particular activities detailed in the relevant content. Activity-mining is applied to the identified relevant data to classify and assigned activity tags to the extracted entity. Based on the extracted and identified information, an enhanced output is generated for presentation to facilitate research operations. The enhanced output may include overlaid graphical annotations, indicators, and graphical controls over the relevant articles to provide a means for updating a database based on the relevant content.