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    • 8. 发明授权
    • System and method for enhancing search relevancy using semantic keys
    • 使用语义键增强搜索相关性的系统和方法
    • US09396262B2
    • 2016-07-19
    • US12112774
    • 2008-04-30
    • Hong Liang Qiao
    • Hong Liang Qiao
    • G06F17/30
    • G06F17/30864
    • A method, computer-usable medium, and a computer system for searching for webpages are disclosed. Embodiments of the present invention provide a convenient and efficient mechanism for filtering results from a keyword search using semantic keys and semantic sub-keys, thereby enabling an increased number of irrelevant results to be filtered from a keyword search. The search query may be parsed to determine the focus of the query, where the focus may be used determine at least one semantic key for the search query. Each semantic key may be associated with at least one semantic sub-key, where the semantic keys and/or the semantic sub-keys may be used to filter the results of the keyword search. As such, broader keyword searches may be performed to include a larger number of relevant results, where the filtering mechanisms of the present invention may then filter an increased number of irrelevant results.
    • 公开了一种用于搜索网页的方法,计算机可用介质和计算机系统。 本发明的实施例提供了一种用于使用语义密钥和语义子密钥过滤关键字搜索的结果的便利和有效的机制,从而使得能够从关键字搜索中过滤不必要的结果的数量增加。 可以解析搜索查询以确定查询的焦点,其中可以使用焦点来确定用于搜索查询的至少一个语义密钥。 每个语义密钥可以与至少一个语义子密钥相关联,其中语义密钥和/或语义子密钥可以用于过滤关键字搜索的结果。 因此,可以执行更广泛的关键字搜索以包括更多数量的相关结果,其中本发明的过滤机制可以过滤不必要的结果的增加数量。
    • 9. 发明授权
    • Method and system for scoring texts
    • 评分文本的方法和系统
    • US08924396B2
    • 2014-12-30
    • US12884395
    • 2010-09-17
    • Hong Liang Qiao
    • Hong Liang Qiao
    • G06F17/30
    • G06F17/3053G06F17/30345G06F17/30687G06F17/30867
    • A computer-implemented method, computer-readable medium and system for scoring a text are disclosed. Themes within one or more texts may be determined and used to score each text, where an overall score for each text may indicate a respective importance and/or value of each text. The score for each text may be determined based upon a number of themes, type of themes, frequency of theme elements associated with the themes, distribution of theme elements associated with the themes, location of themes in the text, some combination thereof, etc. In this manner, the importance or value of one or more texts may be determined more accurately using information within each text with reduced reliance upon external information. Additionally, more relevant search results can be returned to a user by using internal information to perform ranking operations and/or filtering operations associated with a search.
    • 公开了一种用于评分文本的计算机实现的方法,计算机可读介质和系统。 可以确定一个或多个文本内的主题并用于对每个文本进行评分,其中每个文本的总分可以指示每个文本的相应重要性和/或值。 每个文本的分数可以基于主题数量,主题类型,与主题相关联的主题元素的频率,与主题相关联的主题元素的分布,文本中的主题的位置,其某种组合等来确定。 以这种方式,可以使用每个文本内的信息更准确地确定一个或多个文本的重要性或价值,同时减少对外部信息的依赖。 此外,通过使用内部信息来执行与搜索相关联的排序操作和/或过滤操作,可以向用户返回更相关的搜索结果。
    • 10. 发明申请
    • SYSTEM AND METHOD OF SENTIMENT DATA GENERATION
    • 识别数据生成的系统和方法
    • US20130018894A1
    • 2013-01-17
    • US13452718
    • 2012-04-20
    • Hong Liang Qiao
    • Hong Liang Qiao
    • G06F17/30
    • G06F17/30719G06F17/2229G06F17/271G06F17/2785G06F17/3061G06F17/30637G06F17/30654G06F17/30663G06F17/30684G06F17/30705G06F17/30864
    • A method, computer-readable medium, and a computer system for automatically generating sentiment data are disclosed. One or more portions of at least one document may be determined to be associated with at least one sentiment of one or more other portions of the at least one document. One or more scores associated with the at least one sentiment may be automatically determined based on at least one respective attribute of the one or more portions. The at least one respective attribute may include a positive category, a negative category, a neutral category, a degree associated with a positive sentiment, a degree associated with a negative sentiment, some combination thereof, etc. In this manner, data associated with sentiment of one or more portions of at least one document may be generated.
    • 公开了一种用于自动生成情感数据的方法,计算机可读介质和计算机系统。 可以将至少一个文档的一个或多个部分确定为与至少一个文档的一个或多个其他部分的至少一个情绪相关联。 可以基于一个或多个部分的至少一个相应属性来自动确定与至少一个情绪相关联的一个或多个分数。 至少一个相应的属性可以包括正类别,负类别,中性类别,与正面情绪相关联的程度,与否定情绪相关联的程度,其某种组合等。以这种方式,与情绪相关联的数据 可以生成至少一个文档的一个或多个部分。