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    SENTIMENT POLARITY FOR USERS OF A SOCIAL NETWORKING SYSTEM
    3.
    发明申请
    SENTIMENT POLARITY FOR USERS OF A SOCIAL NETWORKING SYSTEM 审中-公开

    公开(公告)号：US20180012146A1

    公开(公告)日：2018-01-11

    申请号：US15693235

    申请日：2017-08-31

    Applicant: Facebook, Inc.

    Inventor： Guven Burc Arpat ,  Saiyad Shah ,  Srikant Ramakrishna Ayyar

    IPC: G06N99/00 ,  G06Q50/00 ,  G06Q10/10

    Abstract: A social networking system infers a sentiment polarity of a user toward content of a page. The sentiment polarity of the user is inferred based on received information about an interaction between the user and the page (e.g., like, report, etc.), and may be based on analysis of a topic extracted from text on the page. The system infers a positive or negative sentiment polarity of the user toward the content of the page, and that sentiment polarity then may be associated with any second or subsequent interaction from the user related to the page content. The system may identify a set of trusted users with strong sentiment polarities toward the content of a page or topic, and may use the trusted user data as training data for a machine learning model, which can be used to more accurately infer sentiment polarity of users as new data is received.

    Generating Audience Metrics Including Affinity Scores Relative to An Audience
    5.
    发明申请
    Generating Audience Metrics Including Affinity Scores Relative to An Audience 审中-公开
    生成观众指标，包括与观众相关的亲和力得分

    公开(公告)号：US20160140605A1

    公开(公告)日：2016-05-19

    申请号：US14542411

    申请日：2014-11-14

    Applicant: Facebook, Inc.

    Inventor： Michael Lee Develin ,  Guven Burc Arpat ,  Srikant Ramakrishna Ayyar

    IPC: G06Q30/02 ,  H04L29/08

    CPC classification number: G06Q30/0246 ,  H04L67/22 ,  H04W4/21

    Abstract: A social networking system receives a selection of user characteristics defining a benchmark audience and a target audience, and generates audience metrics that compare the audiences across a set of user characteristics. These user characteristics include demographics, interests, purchasing activity, and actions on the social networking system. The audience metrics are provided to an advertiser who may select additional user characteristics to refine the benchmark or target audiences. The audience metrics may include an affinity score that compares the audience metrics for a particular type of interaction, and may normalize the frequency of interactions relative to interactions of the audience as a whole. Advertisers may use the defined audiences to establish targeting criteria for an advertisement, and may use existing targeting criteria to seed the selection of an audience.

    Abstract translation: 社交网络系统接收定义基准受众和目标受众的用户特征选择，并生成与一组用户特征相比较的观众指标。 这些用户特征包括人口统计，兴趣，购买活动以及社交网络系统上的操作。 观众指标被提供给可以选择附加用户特征来改进基准或目标受众的广告客户。 观众指标可以包括比较特定类型的交互的观众度量的亲和度分数，并且可以规范相对于整体观众的交互的交互频率。 广告商可以使用定义的观众来建立广告的定位标准，并且可以使用现有的定位标准来选择观众。

    SENTIMENT POLARITY FOR USERS OF A SOCIAL NETWORKING SYSTEM
    6.
    发明申请
    SENTIMENT POLARITY FOR USERS OF A SOCIAL NETWORKING SYSTEM 审中-公开
    社会网络系统用户的认知极性

    公开(公告)号：US20150074020A1

    公开(公告)日：2015-03-12

    申请号：US14023136

    申请日：2013-09-10

    Applicant: Facebook, Inc.

    Inventor： Guven Burc Arpat ,  Saiyad Shah ,  Srikant Ramakrishna Ayyar

    IPC: G06N99/00

    Abstract: A social networking system infers a sentiment polarity of a user toward content of a page. The sentiment polarity of the user is inferred based on received information about an interaction between the user and the page (e.g., like, report, etc.), and may be based on analysis of a topic extracted from text on the page. The system infers a positive or negative sentiment polarity of the user toward the content of the page, and that sentiment polarity then may be associated with any second or subsequent interaction from the user related to the page content. The system may identify a set of trusted users with strong sentiment polarities toward the content of a page or topic, and may use the trusted user data as training data for a machine learning model, which can be used to more accurately infer sentiment polarity of users as new data is received.

    Abstract translation: 社交网络系统将用户的情绪极限推向页面的内容。 基于接收到的关于用户和页面之间的交互的信息（例如，类似，报告等）来推断用户的情绪极性，并且可以基于从页面上的文本中提取的主题的分析。 该系统将用户的正面或负面情感极性推向页面的内容，并且该情绪极性可以与来自与页面内容相关的用户的任何第二或后续交互相关联。 该系统可以向页面或主题的内容识别具有强情绪极性的可信任用户集合，并且可以将可信用户数据用作机器学习模型的训练数据，其可用于更准确地推断用户的情绪极性 因为收到了新的数据。

    Sentiment polarity for users of a social networking system
    7.
    发明授权
    Sentiment polarity for users of a social networking system 有权

    公开(公告)号：US10706367B2

    公开(公告)日：2020-07-07

    申请号：US14023136

    申请日：2013-09-10

    Applicant: Facebook, Inc.

    Inventor： Guven Burc Arpat ,  Saiyad Shah ,  Srikant Ramakrishna Ayyar

    IPC: G06N5/02 ,  G06N20/00 ,  G06Q10/10 ,  G06Q50/00

    Abstract: A social networking system infers a sentiment polarity of a user toward content of a page. The sentiment polarity of the user is inferred based on received information about an interaction between the user and the page (e.g., like, report, etc.), and may be based on analysis of a topic extracted from text on the page. The system infers a positive or negative sentiment polarity of the user toward the content of the page, and that sentiment polarity then may be associated with any second or subsequent interaction from the user related to the page content. The system may identify a set of trusted users with strong sentiment polarities toward the content of a page or topic, and may use the trusted user data as training data for a machine learning model, which can be used to more accurately infer sentiment polarity of users as new data is received.

    Sentiment polarity for users of a social networking system
    8.
    发明授权
    Sentiment polarity for users of a social networking system 有权

    公开(公告)号：US10679147B2

    公开(公告)日：2020-06-09

    申请号：US15693235

    申请日：2017-08-31

    Applicant: Facebook, Inc.

    Inventor： Guven Burc Arpat ,  Saiyad Shah ,  Srikant Ramakrishna Ayyar

    IPC: G06N20/00 ,  G06Q10/10 ,  G06Q50/00

    Abstract: A social networking system infers a sentiment polarity of a user toward content of a page. The sentiment polarity of the user is inferred based on received information about an interaction between the user and the page (e.g., like, report, etc.), and may be based on analysis of a topic extracted from text on the page. The system infers a positive or negative sentiment polarity of the user toward the content of the page, and that sentiment polarity then may be associated with any second or subsequent interaction from the user related to the page content. The system may identify a set of trusted users with strong sentiment polarities toward the content of a page or topic, and may use the trusted user data as training data for a machine learning model, which can be used to more accurately infer sentiment polarity of users as new data is received.

    Meme detection in digital chatter analysis
    9.
    发明授权
    Meme detection in digital chatter analysis 有权

    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.

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