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公开(公告)号:US20120159315A1
公开(公告)日:2012-06-21
申请号:US12969081
申请日:2010-12-15
IPC分类号: G06F17/00
CPC分类号: G06F17/24 , G06F17/2705 , G06F17/2745 , G06Q30/02
摘要: A method, system and computer program product for assisting users to generate the desired meme in a document. A document is scanned to identify parts of speech, numerical text or numbers and images (collectively the “terms”) that provide positive/negative memes. A score for each of these terms is assigned. A score may then be assigned to each designated primary object (e.g., individual, company) discussed in the document using the scores assigned to the identified terms. Options may then be provided to modify the document to provide the type of meme (e.g., positive or negative meme) desired by the author to be associated with the particular designated primary object. Upon receiving a selection of one or more of these options, the document is modified accordingly to generate the desired meme in the document.
摘要翻译: 一种方法,系统和计算机程序产品,用于帮助用户在文档中生成所需的内容。 扫描文档以识别提供正/负成分的词性,数字文本或数字和图像(统称为“术语”)。 分配这些术语的分数。 然后可以使用分配给所识别的术语的分数将分数分配给文档中讨论的每个指定的主要对象(例如,个人,公司)。 然后可以提供选项来修改文档以提供作者所期望的与特定的指定主要对象相关联的模式(例如,正或负模因)的类型。 在接收到这些选项中的一个或多个的选择时,相应地修改文档以在文档中生成期望的元素。
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公开(公告)号:US09330085B2
公开(公告)日:2016-05-03
申请号:US12969081
申请日:2010-12-15
CPC分类号: G06F17/24 , G06F17/2705 , G06F17/2745 , G06Q30/02
摘要: A method, system and computer program product for assisting users to generate the desired meme in a document. A document is scanned to identify parts of speech, numerical text or numbers and images (collectively the “terms”) that provide positive/negative memes. A score for each of these terms is assigned. A score may then be assigned to each designated primary object (e.g., individual, company) discussed in the document using the scores assigned to the identified terms. Options may then be provided to modify the document to provide the type of meme (e.g., positive or negative meme) desired by the author to be associated with the particular designated primary object. Upon receiving a selection of one or more of these options, the document is modified accordingly to generate the desired meme in the document.
摘要翻译: 一种方法,系统和计算机程序产品,用于帮助用户在文档中生成所需的内容。 扫描文档以识别提供正/负成分的词性,数字文本或数字和图像(统称为“术语”)。 分配这些术语的分数。 然后可以使用分配给所识别的术语的分数将分数分配给文档中讨论的每个指定的主要对象(例如,个人,公司)。 然后可以提供选项以修改文档以提供作者所期望的与特定的指定主要对象相关联的模式(例如,正或负模因)的类型。 在接收到这些选项中的一个或多个的选择时,相应地修改文档以在文档中生成期望的元素。
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公开(公告)号:US09813261B2
公开(公告)日:2017-11-07
申请号:US13593898
申请日:2012-08-24
CPC分类号: H04L12/6418
摘要: Socially provided context-based messaging can include receiving a message content in a messaging system from a user, wherein the content includes objects; matching one or more objects of the message content to socially provided context information, which the socially provided context information is information relevant to an object obtained from a social network to which the user belongs; and displaying the socially provided context information with the message content for a recipient user to receive.
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公开(公告)号:US20130054718A1
公开(公告)日:2013-02-28
申请号:US13593898
申请日:2012-08-24
IPC分类号: G06F15/16
CPC分类号: H04L12/6418
摘要: Socially provided context-based messaging can include receiving a message content in a messaging system from a user, wherein the content includes objects; matching one or more objects of the message content to socially provided context information, which the socially provided context information is information relevant to an object obtained from a social network to which the user belongs; and displaying the socially provided context information with the message content for a recipient user to receive.
摘要翻译: 社会提供的基于上下文的消息传送可以包括在消息系统中从用户接收消息内容,其中所述内容包括对象; 将消息内容的一个或多个对象与社会提供的上下文信息相匹配,所述社会提供的上下文信息是与从用户所属的社交网络获得的对象有关的信息; 以及显示社交提供的上下文信息与用于接收者用户接收的消息内容。
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公开(公告)号:US08543913B2
公开(公告)日:2013-09-24
申请号:US12252418
申请日:2008-10-16
IPC分类号: G06F17/00
CPC分类号: G06F17/273 , G06F17/248
摘要: The disclosure is directed to a method and system for accessing textual widgets. A method in accordance with an embodiment includes: entering a string expression into a document; invoking a spell-checker to check a spelling of the string expression; marking the string expression as misspelled; identifying a textual widget based on the misspelling of the string expression; evaluating the misspelled string expression using the identified textual widget, the identified textual widget returning at least one result of the evaluation; displaying the at least one result of the evaluation; selecting a result of the evaluation; and replacing the string expression in the document with the selected result of the evaluation.
摘要翻译: 本公开涉及用于访问文本小部件的方法和系统。 根据实施例的方法包括:将字符串表达式输入到文档中; 调用拼写检查器来检查字符串表达式的拼写; 将字符串表达式拼写错误; 基于字符串表达式的拼写错误识别文本小部件; 使用所识别的文本小部件评估拼写错误的字符串表达,所识别的文本小部件返回至少一个评估结果; 显示评估的至少一个结果; 选择评估结果; 并用选定的评估结果替换文档中的字符串表达式。
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公开(公告)号:US20100100816A1
公开(公告)日:2010-04-22
申请号:US12252418
申请日:2008-10-16
IPC分类号: G06F17/21
CPC分类号: G06F17/273 , G06F17/248
摘要: The disclosure is directed to a method and system for accessing textual widgets. A method in accordance with an embodiment includes: entering a string expression into a document; invoking a spell-checker to check a spelling of the string expression; marking the string expression as misspelled; identifying a textual widget based on the misspelling of the string expression; evaluating the misspelled string expression using the identified textual widget, the identified textual widget returning at least one result of the evaluation; displaying the at least one result of the evaluation; selecting a result of the evaluation; and replacing the string expression in the document with the selected result of the evaluation.
摘要翻译: 本公开涉及用于访问文本小部件的方法和系统。 根据实施例的方法包括:将字符串表达式输入到文档中; 调用拼写检查器来检查字符串表达式的拼写; 将字符串表达式拼写错误; 基于字符串表达式的拼写错误识别文本小部件; 使用所识别的文本小部件评估拼写错误的字符串表达,所识别的文本小部件返回至少一个评估结果; 显示评估的至少一个结果; 选择评估结果; 并用所选择的评估结果替换文档中的字符串表达式。
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公开(公告)号:US20120330939A1
公开(公告)日:2012-12-27
申请号:US13411058
申请日:2012-03-02
IPC分类号: G06F17/30
CPC分类号: G06F17/30867 , G06F17/30731 , G06Q30/02
摘要: A method for providing content-level data artifact recommendations can begin with the creation of a semantic library from the textual content of data artifacts by a newsworthy content recommendation engine. A base newsworthiness rating can be calculated using global newsworthiness parameters and behavioral functions that model newsworthy influences for each relationship contained in the semantic library. A user-specific search network can be generated that represents user-entered criteria and/or user task-related criteria. Within the semantic library, potential newsworthy semantic networks can be identified. Newsworthy content from each identified potential newsworthy semantic network can be dynamically determined based upon the base newsworthiness rating and a predefined newsworthiness threshold. The newsworthy content from the identified potential newsworthy semantic network can be related to the user-specific search network at the common node, creating a newsworthy content recommendation graph. The newsworthy content recommendation graph can be presented within a user interface.
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