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    Graph-based search leveraging sentiment analysis of user comments
    1.
    发明授权
    Graph-based search leveraging sentiment analysis of user comments 有权
    基于图形的搜索利用用户评论的情绪分析

    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。

    Graph-based search leveraging sentiment analysis of user comments
    2.
    发明申请
    Graph-based search leveraging sentiment analysis of user comments 有权
    基于图形的搜索利用用户评论的情绪分析

    公开(公告)号：US20080215543A1

    公开(公告)日：2008-09-04

    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。

    Smart Sentiment Classifier for Product Reviews
    3.
    发明申请
    Smart Sentiment Classifier for Product Reviews 审中-公开
    智能情感分类器的产品评论

    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。

    WEB CONTENT MINING OF PAIR-BASED DATA
    5.
    发明申请
    WEB CONTENT MINING OF PAIR-BASED DATA 有权
    基于对象数据的WEB内容采集

    公开(公告)号：US20090132530A1

    公开(公告)日：2009-05-21

    申请号：US11941968

    申请日：2007-11-19

    申请人： Weizhu Chen ,  Long Jiang ,  Ming Zhou ,  Benyu Zhang ,  Zheng Chen ,  Jian Wang

    发明人： Weizhu Chen ,  Long Jiang ,  Ming Zhou ,  Benyu Zhang ,  Zheng Chen ,  Jian Wang

    IPC分类号： G06F17/30

    CPC分类号： G06F17/30864

    摘要： Described herein is technology for, among other things, mining pair-based data on the web. The technology involves an online pair-based data mining system as well as an offline SVM training system. By subjecting a pair-based input data to the systems, one may grow a pool of pair-based data which share characteristics of the pair-based input data in more efficient manner.

    摘要翻译： 这里描述的是用于在网络上挖掘基于对的数据的技术。 该技术涉及一个在线的基于对的数据挖掘系统以及离线SVM培训系统。 通过对基于对的输入数据进行系统的处理，可以以更有效的方式增加基于成对的输入数据的特征的基于对的数据池。

    WEB CONTENT MINING OF PAIR-BASED DATA
    6.
    发明申请
    WEB CONTENT MINING OF PAIR-BASED DATA 审中-公开
    基于对象数据的WEB内容采集

    公开(公告)号：US20110213763A1

    公开(公告)日：2011-09-01

    申请号：US13101061

    申请日：2011-05-04

    申请人： Weizhu Chen ,  Long Jiang ,  Ming Zhou ,  Benyu Zhang ,  Zheng Chen ,  Jian Wang

    发明人： Weizhu Chen ,  Long Jiang ,  Ming Zhou ,  Benyu Zhang ,  Zheng Chen ,  Jian Wang

    IPC分类号： G06F17/30

    CPC分类号： G06F16/951

    摘要： Described herein is technology for, among other things, mining pair-based data on the web. The technology involves an online pair-based data mining system as well as an offline SVM training system. By subjecting a pair-based input data to the systems, one may grow a pool of pair-based data which share characteristics of the pair-based input data in more efficient manner.

    摘要翻译： 这里描述的是用于在网络上挖掘基于对的数据的技术。 该技术涉及一个在线的基于对的数据挖掘系统以及离线SVM培训系统。 通过对基于对的输入数据进行系统的处理，可以以更有效的方式增加基于成对的输入数据的特征的基于对的数据池。

    Web content mining of pair-based data
    7.
    发明授权
    Web content mining of pair-based data 有权
    基于对数据的Web内容挖掘

    公开(公告)号：US07962507B2

    公开(公告)日：2011-06-14

    申请号：US11941968

    申请日：2007-11-19

    申请人： Weizhu Chen ,  Long Jiang ,  Ming Zhou ,  Benyu Zhang ,  Zheng Chen ,  Jian Wang

    发明人： Weizhu Chen ,  Long Jiang ,  Ming Zhou ,  Benyu Zhang ,  Zheng Chen ,  Jian Wang

    IPC分类号： G06F17/30 ,  G06F7/00

    CPC分类号： G06F17/30864

    摘要： Described herein is technology for, among other things, mining pair-based data on the web. The technology involves an online pair-based data mining system as well as an offline SVM training system. By subjecting a pair-based input data to the systems, one may grow a pool of pair-based data which share characteristics of the pair-based input data in more efficient manner.

    摘要翻译： 这里描述的是用于在网络上挖掘基于对的数据的技术。 该技术涉及一个在线的基于对的数据挖掘系统以及离线SVM培训系统。 通过对基于对的输入数据进行系统的处理，可以以更有效的方式增加基于成对的输入数据的特征的基于对的数据池。

    APPLICATION METHOD, SYSTEM, MEDIUM AND DEVICE OF DIGTIAL ASSETS BASED ON DIGTIAL PRODUCTS
    8.
    发明公开
    APPLICATION METHOD, SYSTEM, MEDIUM AND DEVICE OF DIGTIAL ASSETS BASED ON DIGTIAL PRODUCTS 审中-公开

    公开(公告)号：US20230394489A1

    公开(公告)日：2023-12-07

    申请号：US18113666

    申请日：2023-02-24

    申请人： Ming Zhou ,  Zhen Hua ,  Yongsheng Wang

    发明人： Ming Zhou ,  Zhen Hua ,  Yongsheng Wang

    IPC分类号： G06Q20/40 ,  G06Q20/06

    CPC分类号： G06Q20/405 ,  G06Q20/4014 ,  G06Q20/065

    摘要： The present application provides an application method, system, medium and device of digital assets based on digital product. This method includes: receiving a request from a requester for the display of a digital asset; sending a first identity authentication instruction to the owner of the digital asset according to the display request; receiving a first identity verification instruction sent by the owner of the digital asset according to the first identity authentication instruction; displaying the digital asset to the requester according to the first identity verification instruction, and recording the display of the digital asset to the requester on a transaction block of the blockchain platform. The application can not only improve the security performance of the transaction, but also improve the user experience.

    Stroller Track System
    10.
    发明申请
    Stroller Track System 审中-公开
    婴儿车轨道系统

    公开(公告)号：US20160318538A1

    公开(公告)日：2016-11-03

    申请号：US15144782

    申请日：2016-05-02

    申请人： Ming Zhou

    发明人： Ming Zhou

    IPC分类号： B62B9/02 ,  B62B9/12 ,  B62B7/04

    CPC分类号： B62B9/02 ,  B62B5/025 ,  B62B7/048 ,  B62B9/04 ,  B62B9/12 ,  B62B2301/256

    摘要： A stroller track system is used to facilitate the transporting of a stroller up and down stairs. The stroller track system includes a left tread assembly and a right tread assembly. The left tread assembly and the right tread assembly are used to engage multiple stairs while traversing a set of stairs. This allows the stroller to glide smoothly up or down the stairs. The left tread assembly and the right tread assembly each include a first track and a first stroller-attaching mount. The first track has a greater surface area than a normal wheel, allowing the first track to span a larger section of a staircase. The first stroller-attaching mount is used to attach the first track to a stroller. In alternative versions of the stroller track system, the left tread assembly and the right tread assembly may include additional tracks to further stabilize the stroller.

    摘要翻译： 婴儿车轨道系统用于方便婴儿车上下楼梯的运输。 婴儿车轨道系统包括左胎面组件和右胎面组件。 左胎面组件和右胎面组件用于在穿过一组楼梯的同时接合多个楼梯。 这样可以让婴儿车顺利上下滑动。 左胎面组件和右胎面组件各自包括第一轨道和第一童车附接座。 第一轨道具有比正常车轮更大的表面积，允许第一轨道跨越较大部分的楼梯。 第一个婴儿车安装座用于将第一个轨道连接到婴儿车上。 在婴儿车轨道系统的替代版本中，左胎面组件和右胎面组件可以包括另外的轨道以进一步稳定婴儿车。