Natural Language Image Tags
    11.
    发明申请
    Natural Language Image Tags 有权
    自然语言图像标签

    公开(公告)号:US20140078076A1

    公开(公告)日:2014-03-20

    申请号:US13683466

    申请日:2012-11-21

    Abstract: Natural language image tags are described. In one or more implementations, at least a portion of an image displayed by a display device is defined based on a gesture. The gesture is identified from one or more touch inputs detected using touchscreen functionality of the display device. Text received in a natural language input is located and used to tag the portion of the image using one or more items of the text received in the natural language input.

    Abstract translation: 描述了自然语言图像标签。 在一个或多个实现中,基于手势来定义由显示设备显示的图像的至少一部分。 从使用显示设备的触摸屏功能检测到的一个或多个触摸输入识别手势。 在自然语言输入中接收的文本被定位并用于使用在自然语言输入中接收的文本的一个或多个项来标记图像的部分。

    Augmenting text with multimedia assets

    公开(公告)号:US09940307B2

    公开(公告)日:2018-04-10

    申请号:US13731445

    申请日:2012-12-31

    CPC classification number: G06F17/2235 G06F17/2765 G06F17/30

    Abstract: Systems and methods are provided for providing a navigation interface to access or otherwise use electronic content items. In one embodiment, an augmentation application identifies at least one entity referenced in a document. The entity can be referenced in at least two portions of the document by at least two different words or phrases. The augmentation application associates the at least one entity with at least one multimedia asset. The augmentation application generates a layout including at least some content of the document referencing the at least one entity and the at least one multimedia asset associated with the at least one entity. The augmentation application renders the layout for display.

    DETERMINING CONTEXT AND MINDSET OF USERS
    14.
    发明申请
    DETERMINING CONTEXT AND MINDSET OF USERS 审中-公开
    确定用户的背景和最小值

    公开(公告)号:US20170017998A1

    公开(公告)日:2017-01-19

    申请号:US14802249

    申请日:2015-07-17

    Abstract: Embodiments of the present invention provide systems and methods for generating personalized targeted content based on user sentiment and micro-location. A user's sentiment toward content, or items represented by the content, may be used to personalize targeted content when a user is determined to be near items (e.g., products) related to the content. Micro-location technology may be used to identify when the user is in an appropriate location to receive such personalized targeted content. Content may be provided to a user based on identifying a positive user sentiment toward particular portions of the content. Additionally, content may be provided to a user upon identifying a negative user sentiment toward particular portions of the content in order to allay concerns. User sentiments may be dynamically updated over time or as exposure to content changes.

    Abstract translation: 本发明的实施例提供了基于用户情绪和微位置来产生个性化目标内容的系统和方法。 当用户被确定为与内容相关的项目(例如,产品)时,用户对内容的感受或由内容表示的项目可以用于个性化目标内容。 微位置技术可以用于识别用户何时处于适当位置以接收这样的个性化目标内容。 可以基于识别对内容的特定部分的肯定的用户情绪来向用户提供内容。 另外,为了减轻顾虑,可以向用户提供内容,以便在识别针对内容的特定部分的消极用户情绪时。 用户情绪可能随着时间的推移而动态更新,或者随着内容的变化而变化。

    Trending Topics Tracking
    16.
    发明申请
    Trending Topics Tracking 审中-公开
    热门话题跟踪

    公开(公告)号:US20150356571A1

    公开(公告)日:2015-12-10

    申请号:US14297187

    申请日:2014-06-05

    CPC classification number: G06Q30/0201 G06Q10/107 H04L51/046 H04L51/32

    Abstract: In techniques for trending topics tracking, input text data is received as communications from a user or between users, where the communications are from one user to other users, or between two or more of the users. A topics tracking application is implemented to determine topics from the communications that are from or between the users, and track how the topics are trending over a time duration. The topics can include expressed sentiments and/or expressed emotions. An input selection of at least one of the topics can be received, and the topics tracking application generates a visual dashboard that displays a trending representation of the at least one topic that is trending over the time duration. The visual dashboard can also display data sources of the communications between the two or more users and/or an overview of one or more of the topics determined from a selected data source.

    Abstract translation: 在用于趋势主题跟踪的技术中,输入文本数据作为来自用户或用户之间的通信被接收,其中通信来自一个用户到其他用户,或者两个或更多个用户之间。 实施主题跟踪应用程序来确定来自用户或来自用户的通信中的主题,并跟踪主题在时间上的趋势。 这些话题可以包括表达的情绪和/或表达的情绪。 可以接收至少一个主题的输入选择,并且主题跟踪应用程序生成可视化仪表板,其显示在持续时间上趋向于的至少一个主题的趋势表示。 视觉仪表板还可以显示两个或多个用户之间的通信的数据源和/或从所选数据源确定的一个或多个主题的概述。

    CONTEXTUALIZED SENTIMENT TEXT ANALYSIS VOCABULARY GENERATION
    17.
    发明申请
    CONTEXTUALIZED SENTIMENT TEXT ANALYSIS VOCABULARY GENERATION 审中-公开
    语境分析文本分析生成

    公开(公告)号:US20150286710A1

    公开(公告)日:2015-10-08

    申请号:US14244801

    申请日:2014-04-03

    CPC classification number: G06F16/35 G06F16/36

    Abstract: In techniques for contextualized sentiment text analysis vocabulary generation, a contextual analysis application is implemented to receive input data derived from rated product or service reviews. Each of the domain-specific reviews across multiple categories include a rating that is associated with expressed sentiments about a subject within a rated review. The contextual analysis application determines categories of the subjects of the rated reviews, and then generates a sentiment score for a term that is an expressed sentiment in a rated review. The sentiment score is generated based in part on a context of the term as it pertains to the category and rating of the rated review. The contextual analysis application is implemented to then determine a polarity of a term-category pair based on the sentiment score, and generate a contextualized sentiment vocabulary for all of the term-category pairs of the expressed sentiments about the subjects of the rated reviews.

    Abstract translation: 在语境化情绪文本分析词汇生成技术中,实施了一个语境分析应用程序,用于接收从评级产品或服务评论得到的输入数据。 多个类别中的每个具体领域的评论都包括与评级评论中的主题的表达情绪相关的评分。 上下文分析应用程序确定评级审查的主题的类别,然后生成评级审查中表达情绪的术语的情绪评分。 情绪评分部分地基于该术语的上下文产生,因为它与评级审查的类别和评级有关。 实施上下文分析应用程序,然后基于情绪评分来确定术语类别对的极性,并且产生关于评级评论主题的所表达情绪的所有术语类别对的语境化情绪词汇。

Patent Agency Ranking