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公开(公告)号:US20080249764A1
公开(公告)日:2008-10-09
申请号:US11950512
申请日:2007-12-05
申请人: Shen Huang , Ling Bao , Yunbo Cao , Zheng Chen , Chin-Yew Lin , Christoph R. Ponath , Jian-Tao Sun , Ming Zhou , Jian Wang
发明人: Shen Huang , Ling Bao , Yunbo Cao , Zheng Chen , Chin-Yew Lin , Christoph R. Ponath , Jian-Tao Sun , Ming Zhou , Jian Wang
IPC分类号: G06F17/27
CPC分类号: G06F17/2785
摘要: A sentiment classifier is described. In one implementation, a system applies both full text and complex feature analyses to sentences of a product review. Each analysis is weighted prior to linear combination into a final sentiment prediction. A full text model and a complex features model can be trained separately offline to support online full text analysis and complex features analysis. Complex features include opinion indicators, negation patterns, sentiment-specific sections of the product review, user ratings, sequence of text chunks, and sentence types and lengths. A Conditional Random Field (CRF) framework provides enhanced sentiment classification for each segment of a complex sentence to enhance sentiment prediction.
摘要翻译: 描述情感分类器。 在一个实现中,系统将全文和复杂特征分析应用于产品评论的句子。 将每个分析在线性组合之前加权到最终情绪预测中。 全文模型和复杂特征模型可以离线进行培训,以支持在线全文分析和复杂特征分析。 复杂的功能包括意见指标,否定模式,产品评论中的情绪特定部分,用户评分,文本块的顺序以及句型和长度。 条件随机场(CRF)框架为复杂句子的每个段提供增强的情感分类,以增强情绪预测。
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公开(公告)号:US20080215565A1
公开(公告)日:2008-09-04
申请号:US11853613
申请日:2007-09-11
申请人: Jian-Tao Sun , Xuanhui Wang , Ning Liu , Zheng Chen , Jian Wang
发明人: Jian-Tao Sun , Xuanhui Wang , Ning Liu , Zheng Chen , Jian Wang
IPC分类号: G06F17/30
CPC分类号: G06F17/30867
摘要: Systems and methods for searching heterogeneous interrelated entities for a heterogeneous entities search query are disclosed herein. A user may enter the heterogeneous entities search query. The search retrieves and returns multiple types of heterogeneous entities. The retrieved heterogeneous interrelated entities are searched in a unified matrix that represents relationships between one or more heterogeneous entities. The retrieved heterogeneous interrelated entities may have one or more entity types. The set of retrieved interrelated entities may also be ranked based on the similarity between each entity and the search query. Feedback may also be incorporated into the system to improve search accuracy.
摘要翻译: 本文公开了用于异构实体搜索查询的异构相关实体的搜索的系统和方法。 用户可以输入异构实体搜索查询。 搜索检索并返回多种类型的异构实体。 检索到的异构相关实体在表示一个或多个异构实体之间的关系的统一矩阵中进行搜索。 所检索的异构相关实体可以具有一个或多个实体类型。 还可以根据每个实体和搜索查询之间的相似性对所检索的相关实体的集合进行排名。 反馈也可以并入系统以提高搜索精度。
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公开(公告)号:US20140052751A1
公开(公告)日:2014-02-20
申请号:US13586711
申请日:2012-08-15
申请人: Jianwen Zhang , Zhimin Zhang , Jian-Tao Sun , Jun Yan , Ning Liu , Lei Ji , Weizhu Chen , Zheng Chen
发明人: Jianwen Zhang , Zhimin Zhang , Jian-Tao Sun , Jun Yan , Ning Liu , Lei Ji , Weizhu Chen , Zheng Chen
IPC分类号: G06F17/30
CPC分类号: G06F17/30032 , G06F17/30905
摘要: A smart user-centric information aggregation system allows a user to define a region of content displayed in a display of a device and performs information aggregation on behalf of the user. The smart user-centric information aggregation system searches, aggregates and groups information related to content included in the region of content for the user while the user can continue to perform his/her original course of actions without interruption. After finding information related to the desired content, the smart user-centric information aggregation system may notify the user and present the found information to the user upon receiving confirmation from the user. The smart user-centric information aggregation system may continue to find new related information and update the presentation with the newly found information periodically, in some instances without user intervention or input.
摘要翻译: 以智能用户为中心的信息聚合系统允许用户定义显示在设备显示器中的内容区域,并代表用户执行信息聚合。 智能用户为中心的信息聚合系统在用户可以继续执行他/她的原始行为过程而不间断地搜索,聚合和分组与用户内容区域中包含的内容相关的信息。 在找到与期望内容相关的信息之后,智能用户为中心的信息聚合系统可以在接收到来自用户的确认时通知用户并向用户呈现找到的信息。 以智能用户为中心的信息聚合系统可以继续寻找新的相关信息,并且在某些情况下,不需要用户干预或输入,定期更新新发现的信息。
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公开(公告)号:US20100185689A1
公开(公告)日:2010-07-22
申请号:US12356272
申请日:2009-01-20
申请人: Jian Hu , Jian-Tao Sun , Zheng Chen
发明人: Jian Hu , Jian-Tao Sun , Zheng Chen
CPC分类号: G06F17/2775 , G06F17/2785 , G06Q30/02
摘要: Disclosed are systems and methods for extracting semantic-based keywords through mining word semantics using Wikipedia's taxonomy. Described is the use a semantic bipartite graph that relates candidate keywords and topics.
摘要翻译: 公开的是使用维基百科的分类法通过挖掘词义语义来提取基于语义的关键词的系统和方法。 描述了使用关联候选关键字和主题的语义二分图。
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公开(公告)号:US20080249762A1
公开(公告)日:2008-10-09
申请号:US11697112
申请日:2007-04-05
申请人: Jian Wang , Jian-Tao Sun , Shen Huang , Zheng Chen
发明人: Jian Wang , Jian-Tao Sun , Shen Huang , Zheng Chen
IPC分类号: G06F17/20
CPC分类号: G06F17/2785
摘要: A method and system is provided for classifying documents based on the subjectivity of the content of the documents using a part-of-speech analysis to help account for unseen words. A classification system trains a classifier using the parts of speech of training documents so that the classifier can classify unseen words based on the part of speech of the unseen word. The classification system then trains a part-of-speech model using the parts of speech of the n-grams of training data and labels of the training documents, and trains a term model using the term unigrams and labels. To classify a target document, the classification system applies the part-of-speech model to the part-of-speech n-grams of the target document and the term model to term n-grams of the target document.
摘要翻译: 提供了一种方法和系统,用于使用语音分析基于文档内容的主观性对文档进行分类,以帮助解释看不见的单词。 分类系统使用训练文档的部分语言训练分类器,以便分类器可以根据不可见词的部分语言对不可见的单词进行分类。 然后,分类系统使用训练数据的n-gram和训练文档的标签的词性训练一部分语音模型,并且使用术语单词和标签来训练术语模型。 为了对目标文件进行分类,分类系统将部分词汇模型应用于目标文档的词性n-gram和目标文档的术语模型至术语n-gram。
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公开(公告)号:US20080215571A1
公开(公告)日:2008-09-04
申请号:US12024930
申请日:2008-02-01
申请人: Shen Huang , Jian-Tao Sun , Jianmin Wu , Min Wang , Zheng Chen
发明人: Shen Huang , Jian-Tao Sun , Jianmin Wu , Min Wang , Zheng Chen
IPC分类号: G06F17/30
CPC分类号: G06F16/345
摘要: This disclosure describes various exemplary methods, computer program products, and user interfaces that provide results for a product review search with opinion snippets and opinion visual graphs. This disclosure describes identifying user opinions by extracting passages that contain subjective opinions from web pages; ranking the user opinions by incorporating sentiment orientations and sentiment topics, where the sentiment orientations are positive or negative; and generating review snippets to indicate user sentiment orientations and to describe user opinions toward product features. This disclosure improves a user product search experience from the following aspects: understanding the product review from snippets instead of browsing the web page; obtaining more information by reading reviews in a shorter time period; and obtaining overall opinions of users of the web through visualized opinion summarization.
摘要翻译: 本公开描述了各种示例性方法,计算机程序产品和用于提供具有意见摘要和意见视图的产品评论搜索结果的用户界面。 本公开描述通过从网页提取包含主观意见的段落来识别用户意见; 通过纳入情绪方向和情绪主题,使情绪取向为正面或负面,对用户意见进行排名; 并产生评论片段以指示用户情绪取向并描述用户对产品功能的意见。 本公开改进了以下方面的用户产品搜索体验:从片段中理解产品评论而不是浏览网页; 通过在较短的时间内阅读评论获得更多信息; 并通过可视化意见总结获取网络用户的整体意见。
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公开(公告)号:US20080208819A1
公开(公告)日:2008-08-28
申请号:US12038588
申请日:2008-02-27
申请人: Min Wang , Zheng Chen , Jian-Tao Sun , Shen Huang , Jian Wang
发明人: Min Wang , Zheng Chen , Jian-Tao Sun , Shen Huang , Jian Wang
IPC分类号: G06F17/30
CPC分类号: G06F17/30696 , G06F17/30643 , G06F17/30864
摘要: An exemplary computer implemented graphics-based Web search system includes a search input control and a results presentation control where the search input control is configured to receive user input to establish a relationship between a query and one or more information tags associated with search results provided by a search engine in response to the query and wherein the results presentation control is configured to re-order the search results in response to the relationship. Such a system allows a user to define and refine search intent and enhance the user's search experience. Various other exemplary systems, methods, devices, etc. are also disclosed.
摘要翻译: 示例性的计算机实现的基于图形的Web搜索系统包括搜索输入控制和结果呈现控制,其中搜索输入控件被配置为接收用户输入以建立查询与与由搜索结果提供的搜索结果相关联的一个或多个信息标签之间的关系 搜索引擎,其响应于所述查询,并且其中所述结果呈现控制被配置为响应于所述关系重新排序所述搜索结果。 这样的系统允许用户定义和优化搜索意图并增强用户的搜索体验。 还公开了各种其它示例性系统,方法,装置等。
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公开(公告)号:US20120166370A1
公开(公告)日:2012-06-28
申请号:US13412871
申请日:2012-03-06
申请人: Jian Hu , Jian-Tao Sun , Zheng Chen
发明人: Jian Hu , Jian-Tao Sun , Zheng Chen
IPC分类号: G06F15/18
CPC分类号: G06N99/005 , G06F17/30707
摘要: Techniques for identifying attributes in a sentence and determining a number of attributes to be associated with the sentence is described.
摘要翻译: 描述用于识别句子中的属性并确定与句子相关联的属性的数量的技术。
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29.
公开(公告)号:US07689624B2
公开(公告)日:2010-03-30
申请号:US11712808
申请日:2007-03-01
申请人: Shen Huang , Min Wang , Jian-Tao Sun , Zheng Chen , Ming Zhou
发明人: Shen Huang , Min Wang , Jian-Tao Sun , Zheng Chen , Ming Zhou
IPC分类号: G06F17/30
CPC分类号: G06F17/30867
摘要: A search system and method is provided. The method includes constructing a graph-based query that is indicative of a user's preference-levels for different features of a search item (a product, for example). The constructed graph-based query is executed by comparing the user's preference-levels for the different features of the product, which are graphically represented in the query, with information related to sentiments expressed by other users regarding the product. Information related to the sentiments expressed by other users regarding the product can include system-generated product performance graphs constructed from comments regarding the product obtained from the World Wide Web (or other network). Results returned and output upon execution of the graph-based query include system-generated product performance graphs that are similar to the user-submitted query.
摘要翻译: 提供了一种搜索系统和方法。 该方法包括构建基于图表的查询,其指示用户对于搜索项(例如,产品)的不同特征的偏好级别。 通过将查询中以图形表示的产品的不同特征的用户偏好等级与由其他用户对产品表达的情绪相关的信息进行比较来执行构造的基于图的查询。 与其他用户对产品表达的情绪相关的信息可以包括由从万维网(或其他网络)获得的产品的评论构成的系统生成的产品性能图。 在执行基于图形的查询时返回并输出的结果包括与用户提交的查询类似的系统生成的产品性能图。
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公开(公告)号:US08868598B2
公开(公告)日:2014-10-21
申请号:US13586711
申请日:2012-08-15
申请人: Jianwen Zhang , Zhimin Zhang , Jian-Tao Sun , Jun Yan , Ning Liu , Lei Ji , Weizhu Chen , Zheng Chen
发明人: Jianwen Zhang , Zhimin Zhang , Jian-Tao Sun , Jun Yan , Ning Liu , Lei Ji , Weizhu Chen , Zheng Chen
CPC分类号: G06F17/30032 , G06F17/30905
摘要: A smart user-centric information aggregation system allows a user to define a region of content displayed in a display of a device and performs information aggregation on behalf of the user. The smart user-centric information aggregation system searches, aggregates and groups information related to content included in the region of content for the user while the user can continue to perform his/her original course of actions without interruption. After finding information related to the desired content, the smart user-centric information aggregation system may notify the user and present the found information to the user upon receiving confirmation from the user. The smart user-centric information aggregation system may continue to find new related information and update the presentation with the newly found information periodically, in some instances without user intervention or input.
摘要翻译: 以智能用户为中心的信息聚合系统允许用户定义显示在设备显示器中的内容区域,并代表用户执行信息聚合。 智能用户为中心的信息聚合系统在用户可以继续执行他/她的原始行为过程而不间断地搜索,聚合和分组与用户内容区域中包含的内容相关的信息。 在找到与期望内容相关的信息之后,智能用户为中心的信息聚合系统可以在接收到来自用户的确认时通知用户并向用户呈现找到的信息。 以智能用户为中心的信息聚合系统可以继续寻找新的相关信息,并且在某些情况下,不需要用户干预或输入,定期更新新发现的信息。
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