Invention Grant
- Patent Title: Scalable mining of trending insights from text
-
Application No.: US15085714Application Date: 2016-03-30
-
Publication No.: US10733221B2Publication Date: 2020-08-04
- Inventor: Yongzheng Zhang , Rui Zhao , Chi-Yi Kuan , Yi Zheng
- Applicant: Microsoft Technology Licensing, LLC
- Applicant Address: US WA Redmond
- Assignee: Microsoft Technology Licensing, LLC
- Current Assignee: Microsoft Technology Licensing, LLC
- Current Assignee Address: US WA Redmond
- Agency: Hickman Palermo Becker Bingham LLP
- Agent Daniel D. Ledesma
- Main IPC: G06F16/33
- IPC: G06F16/33 ; G06F16/93 ; G06F16/35 ; G06F16/951

Abstract:
A system and method for identifying trending topics in a document corpus are provided. First, multiple topics are identified, some of which topics may be filtered or removed based on co-occurrence. Then, for each remaining topic, a frequency of the topic in the document corpus is determined, one or more frequencies of the topic in one or more other document corpora are determined, a trending score of the topic is generated based on the determined frequencies. Lastly, the remaining topics are ranked based on the generated trending scores.
Public/Granted literature
- US20170286531A1 SCALABLE MINING OF TRENDING INSIGHTS FROM TEXT Public/Granted day:2017-10-05
Information query