Methods and systems for analyzing data of an online social network
    1.
    发明授权
    Methods and systems for analyzing data of an online social network 有权
    用于分析在线社交网络数据的方法和系统

    公开(公告)号:US08775429B2

    公开(公告)日:2014-07-08

    申请号:US13438382

    申请日:2012-04-03

    IPC分类号: G06F17/30

    CPC分类号: G06Q50/01 G06Q30/0201

    摘要: Method of analyzing data from an online social network having a set of network users. The method includes obtaining topic-specific messages sent by the network users. The messages have social content provided by the networks users, wherein the messages include a marker of interest in the social content. The marker of interest is associated with a topic of the social network. The method also includes identifying the network users that sent the messages having the marker of interest in the social content as interested users of the topic. The interested users are a subset of the set of network users. The method also includes determining a topic-specific influence (TSI) value of a designated user from the interested users in the subset. The TSI value of the designated user is based on a number of the interested users that are registered to receive the messages from the designated user.

    摘要翻译: 从具有一组网络用户的在线社交网络分析数据的方法。 该方法包括获取由网络用户发送的特定于主题的消息。 消息具有由网络用户提供的社交内容,其中消息包括社交内容中感兴趣的标记。 感兴趣的标记与社交网络的主题相关联。 该方法还包括识别在社交内容中发送具有感兴趣标记的消息的网络用户作为该主题的感兴趣的用户。 感兴趣的用户是网络用户组的一个子集。 该方法还包括从该子集中的感兴趣的用户确定指定用户的主题特定影响(TSI)值。 指定用户的TSI值基于被注册为从指定用户接收消息的感兴趣的用户的数量。

    Methods And Systems For Analyzing Data Of An Online Social Network
    2.
    发明申请
    Methods And Systems For Analyzing Data Of An Online Social Network 有权
    用于分析在线社交网络数据的方法和系统

    公开(公告)号:US20120254184A1

    公开(公告)日:2012-10-04

    申请号:US13438382

    申请日:2012-04-03

    IPC分类号: G06F17/30

    CPC分类号: G06Q50/01 G06Q30/0201

    摘要: Method of analyzing data from an online social network having a set of network users. The method includes obtaining topic-specific messages sent by the network users. The messages have social content provided by the networks users, wherein the messages include a marker of interest in the social content. The marker of interest is associated with a topic of the social network. The method also includes identifying the network users that sent the messages having the marker of interest in the social content as interested users of the topic. The interested users are a subset of the set of network users. The method also includes determining a topic-specific influence (TSI) value of a designated user from the interested users in the subset. The TSI value of the designated user is based on a number of the interested users that are registered to receive the messages from the designated user.

    摘要翻译: 从具有一组网络用户的在线社交网络分析数据的方法。 该方法包括获取由网络用户发送的特定于主题的消息。 消息具有由网络用户提供的社交内容,其中消息包括社交内容中感兴趣的标记。 感兴趣的标记与社交网络的主题相关联。 该方法还包括识别在社交内容中发送具有感兴趣标记的消息的网络用户作为该主题的感兴趣的用户。 感兴趣的用户是网络用户组的一个子集。 该方法还包括从该子集中的感兴趣的用户确定指定用户的主题特定影响(TSI)值。 指定用户的TSI值基于被注册为从指定用户接收消息的感兴趣的用户的数量。

    System, Method, And Computer Readable Medium for Ranking Products And Services Based On User Reviews
    3.
    发明申请
    System, Method, And Computer Readable Medium for Ranking Products And Services Based On User Reviews 审中-公开
    基于用户评价的产品和服务的系统,方法和计算机可读介质

    公开(公告)号:US20120254060A1

    公开(公告)日:2012-10-04

    申请号:US13438421

    申请日:2012-04-03

    IPC分类号: G06Q30/00

    CPC分类号: G06Q30/00

    摘要: A method including obtaining a plurality of user reviews of different commercial products or services. The user reviews include statements about features of the products or services. The method also includes assigning a sentiment orientation to each of a plurality of the statements. The sentiment orientation indicates whether the statement reflects a positive sentiment or a negative sentiment. At least one of the features is a common feature that is shared by a plurality of the products or services. The method also includes ranking the products or services having the common feature relative to one another based on the sentiment orientations of the common feature.

    摘要翻译: 一种方法,包括获得不同商业产品或服务的多个用户评论。 用户评论包括有关产品或服务功能的声明。 所述方法还包括向多个语句中的每一个分配情感取向。 情绪方向表明该陈述是否反映了积极的情绪或负面情绪。 功能中的至少一个是由多个产品或服务共享的共同特征。 该方法还包括基于共同特征的情绪取向来相对于彼此具有相同特征的产品或服务进行排名。