公开(公告)号：US10394953B2

公开(公告)日：2019-08-27

申请号：US14802890

申请日：2015-07-17

Applicant: Facebook, Inc.

Inventor： Satyavarta Satyavarta ,  Guven Burc Arpat ,  Mui Thu Tran

IPC: G06F17/27 ,  H04L12/58

Abstract: Some embodiments include a method of detecting memes, as “key terms,” in a chatter aggregation in a social networking system. The method can include aggregating user-generated content objects within the social networking system into the chatter aggregation according to a set of filters. A meme analysis engine can define a target group within the chatter aggregation to compare against a background group. The meme analysis engine can extract key terms from textual content of the target group. The meme analysis engine can determine a relevancy rank of a term in the key terms based on an accounting of the term in the textual content of the target group and a linguistic relevance score of the term according to a linguistic model.

公开(公告)号：US20170017638A1

公开(公告)日：2017-01-19

申请号：US14802890

申请日：2015-07-17

Applicant: Facebook, Inc.

Inventor： Satyavarta Satyavarta ,  Guven Burc Arpat ,  Mui Thu Tran

IPC: G06F17/27 ,  H04L12/58

CPC classification number: G06F17/278 ,  G06F17/272 ,  G06F17/274 ,  G06F17/2785 ,  G06Q50/01 ,  H04L51/12 ,  H04L51/32

Abstract: Some embodiments include a method of detecting memes, as “key terms,” in a chatter aggregation in a social networking system. The method can include aggregating user-generated content objects within the social networking system into the chatter aggregation according to a set of filters. A meme analysis engine can define a target group within the chatter aggregation to compare against a background group. The meme analysis engine can extract key terms from textual content of the target group. The meme analysis engine can determine a relevancy rank of a term in the key terms based on an accounting of the term in the textual content of the target group and a linguistic relevance score of the term according to a linguistic model.

Abstract translation: 一些实施例包括在社交网络系统的混沌聚合中检测模块的方法作为“关键术语”。 该方法可以包括根据一组滤波器将社交网络系统内的用户生成的内容对象聚合成抖动聚合。 meme分析引擎可以定义chatter聚合中的目标组以与背景组进行比较。 meme分析引擎可以从目标组的文本内容中提取关键术语。 模因分析引擎可以基于目标群体的文本内容中的术语的会计以及根据语言模型的该术语的语言相关性得分来确定关键术语中的术语的相关性等级。