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    • 4. 发明申请
    • ISOLATING DESIRED CONTENT, METADATA, OR BOTH FROM SOCIAL MEDIA
    • 分离所需的内容,元数据,或两个来自社会媒体
    • US20120221545A1
    • 2012-08-30
    • US13036776
    • 2011-02-28
    • Eric B. BellShawn J. BohnAndrew J. CowellMichelle L. GregoryEric J. MarshallDeborah A. Payne
    • Eric B. BellShawn J. BohnAndrew J. CowellMichelle L. GregoryEric J. MarshallDeborah A. Payne
    • G06F17/30
    • G06F17/30705G06F17/30864
    • Desired content, metadata, or both can be isolated from the full content of social media websites having content-rich pages. Achieving this can include obtaining from the content-rich pages a language-independent representation having a hierarchical structure of nodes and then generating a node representation for each node. Feature vectors for the nodes are generated and a label is assigned to each node representation according to a schema. Assignment can occur by executing a trained classification algorithm on the feature vectors. The schema has schema elements and each schema element corresponds to a label. For each schema element, all node representations having matching labels are gathered and then one node representation is elected from among those with matching labels to be assigned to a schema element field in a template. The template can be applied to extract desired content, metadata, or both according to the schema from all the content-rich pages.
    • 期望的内容,元数据或两者都可以从具有内容丰富的网页的社交媒体网站的完整内容中隔离开来。 实现这一点可以包括从内容丰富的页面获得具有节点的分层结构然后为每个节点生成节点表示的独立于语言的表示。 生成节点的特征向量,并根据模式将标签分配给每个节点表示。 可以通过对特征向量执行经过训练的分类算法来进行分配。 模式具有模式元素,每个模式元素对应于一个标签。 对于每个模式元素,收集具有匹配标签的所有节点表示,然后从具有匹配标签的那些中选择一个节点表示,以将其分配给模板中的模式元素字段。 该模板可以应用于根据所有富含内容的页面的模式提取所需内容,元数据或二者。
    • 5. 发明授权
    • Isolating desired content, metadata, or both from social media
    • 从社交媒体隔离所需的内容,元数据或两者
    • US08239425B1
    • 2012-08-07
    • US13036776
    • 2011-02-28
    • Eric B. BellShawn J. BohnAndrew J. CowellMichelle L. GregoryEric J. MarshallDeborah A. Payne
    • Eric B. BellShawn J. BohnAndrew J. CowellMichelle L. GregoryEric J. MarshallDeborah A. Payne
    • G06F7/00
    • G06F17/30705G06F17/30864
    • Desired content, metadata, or both can be isolated from the full content of social media websites having content-rich pages. Achieving this can include obtaining from the content-rich pages a language-independent representation having a hierarchical structure of nodes and then generating a node representation for each node. Feature vectors for the nodes are generated and a label is assigned to each node representation according to a schema. Assignment can occur by executing a trained classification algorithm on the feature vectors. The schema has schema elements and each schema element corresponds to a label. For each schema element, all node representations having matching labels are gathered and then one node representation is elected from among those with matching labels to be assigned to a schema element field in a template. The template can be applied to extract desired content, metadata, or both according to the schema from all the content-rich pages.
    • 期望的内容,元数据或两者都可以从具有内容丰富的网页的社交媒体网站的完整内容中隔离开来。 实现这一点可以包括从内容丰富的页面获得具有节点的分层结构然后为每个节点生成节点表示的独立于语言的表示。 生成节点的特征向量,并根据模式将标签分配给每个节点表示。 可以通过对特征向量执行经过训练的分类算法来进行分配。 模式具有模式元素,每个模式元素对应于一个标签。 对于每个模式元素,收集具有匹配标签的所有节点表示,然后从具有匹配标签的那些中选择一个节点表示,以将其分配给模板中的模式元素字段。 该模板可以应用于根据所有富含内容的页面的模式提取所需内容,元数据或二者。