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1.发明授权公开(公告)号：US09792377B2
公开(公告)日：2017-10-17
申请号：US14122357
申请日：2011-06-08
申请人： Ming C Hao , Umeshwar Dayal , Bao-Yao Zhou , Cheng Chang , Meichun Hsu , Mohamed E Dekhil , Riddhiman Ghosh , Christian Rohrdantz
发明人： Ming C Hao , Umeshwar Dayal , Bao-Yao Zhou , Cheng Chang , Meichun Hsu , Mohamed E Dekhil , Riddhiman Ghosh , Christian Rohrdantz
CPC分类号： G06F17/3087 , G06F17/30241 , G06F17/30696 , G06F17/30734 , G06Q30/0205
摘要： An event occurring in a particular geographic region is identified based on disseminated information containing public commentary in the particular geographic region. Attributes that are related to the event are identified, and sentiment words relating to the identified event are extracted from the disseminated information, where the extracted sentiment words are in a local language of the particular geographic region. A sentiment trend visualization is generated that depicts a trend of sentiments of at least a particular one of the identified attributes, wherein the sentiments are based on the sentiment words for at least the particular attribute.
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公开(公告)号：US08595151B2
公开(公告)日：2013-11-26
申请号：US13155570
申请日：2011-06-08
申请人： Ming C. Hao , Umeshwar Dayal , Christian Rohrdantz , Meichun Hsu , Mohamed E. Dekhil , Riddhiman Ghosh
发明人： Ming C. Hao , Umeshwar Dayal , Christian Rohrdantz , Meichun Hsu , Mohamed E. Dekhil , Riddhiman Ghosh
CPC分类号： G06Q10/00
摘要： Data records containing user feedback regarding at least one offering are received. From among candidate attributes in the received data records, a subset of attributes that relate to user sentiment regarding the at least one offering is selected, where the selecting is according to selection criteria including frequency of occurrence of the candidate attributes, relative amounts of negative and positive feedback associated with the candidate attributes, and time density of feedback associated with the candidate attributes. A visualization of at least one sentiment characteristic of the selected subset of attributes that relate to user sentiment is presented for display.
摘要翻译： 收到包含至少一个产品的用户反馈的数据记录。 从所接收的数据记录中的候选属性中，选择与关于至少一个产品的用户情绪相关的属性子集，其中选择是根据选择标准，包括候选属性的出现频率，负的相对量和 与候选属性相关联的正反馈以及与候选属性相关联的反馈的时间密度。 呈现与用户情绪相关的所选择的属性子集的至少一个情绪特征的可视化显示。
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公开(公告)号：US20120317049A1
公开(公告)日：2012-12-13
申请号：US13155570
申请日：2011-06-08
申请人： Ming C. Hao , Umeshwar Dayal , Christian Rohrdantz , Meichun Hsu , Mohamed E. Dekhil , Riddhiman Ghosh
发明人： Ming C. Hao , Umeshwar Dayal , Christian Rohrdantz , Meichun Hsu , Mohamed E. Dekhil , Riddhiman Ghosh
IPC分类号： G06Q10/00
CPC分类号： G06Q10/00
摘要： Data records containing user feedback regarding at least one offering are received. From among candidate attributes in the received data records, a subset of attributes that relate to user sentiment regarding the at least one offering is selected, where the selecting is according to selection criteria including frequency of occurrence of the candidate attributes, relative amounts of negative and positive feedback associated with the candidate attributes, and time density of feedback associated with the candidate attributes. A visualization of at least one sentiment characteristic of the selected subset of attributes that relate to user sentiment is presented for display.
摘要翻译： 收到包含至少一个产品的用户反馈的数据记录。 从所接收的数据记录中的候选属性中，选择与关于至少一个产品的用户情绪相关的属性子集，其中选择是根据选择标准，包括候选属性的出现频率，负的相对量和 与候选属性相关联的正反馈以及与候选属性相关联的反馈的时间密度。 呈现与用户情绪相关的所选择的属性子集的至少一个情绪特征的可视化显示。
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公开(公告)号：US20140108455A1
公开(公告)日：2014-04-17
申请号：US14003140
申请日：2011-06-28
IPC分类号： G06F17/30
CPC分类号： G06F17/30539 , G06Q30/02
摘要： A method of capturing intentions within online text comprises with a data mining device (105), identifying (block 305) a number of statements of intention within an online forum (110), and with the data mining device (105), extracting (block 310) a number of attributes (240, 245, 250, 255, 260) from the statements of intention. A system (100) for extracting intentions expressed within an online forum comprises a data mining device (105), a forum server (115) comprising a number of online forums (110) communicatively coupled to the data mining device (105), in which the data mining device identifies a number of statements of intention within the online forums (110) and extracts a number of attributes (240, 245, 250, 255, 260) from the statements of intention.
摘要翻译： 在线文本中捕获意图的方法包括数据挖掘设备（105），在在线论坛（110）中标识（框305）多个意图陈述，以及数据挖掘设备（105），提取（块） 310）来自意图陈述的许多属性（240,245,250,255,260）。 用于提取在线论坛中表达的意图的系统（100）包括数据挖掘设备（105），论坛服务器（115），其包括通信地耦合到所述数据挖掘设备（105）的多个在线论坛（110），其中 数据挖掘设备识别在线论坛（110）内的许多意图陈述，并从意图陈述中提取多个属性（240,245,250,255,260）。
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公开(公告)号：US09411860B2
公开(公告)日：2016-08-09
申请号：US14003140
申请日：2011-06-28
CPC分类号： G06F17/30539 , G06Q30/02
摘要： A method of capturing intentions within online text comprises with a data mining device (105), identifying (block 305) a number of statements of intention within an online forum (110), and with the data mining device (105), extracting (block 310) a number of attributes (240, 245, 250, 255, 260) from the statements of intention. A system (100) for extracting intentions expressed within an online forum comprises a data mining device (105), a forum server (115) comprising a number of online forums (110) communicatively coupled to the data mining device (105), in which the data mining device identifies a number of statements of intention within the online forums (110) and extracts a number of attributes (240, 245, 250, 255, 260) from the statements of intention.
摘要翻译： 在线文本中捕获意图的方法包括数据挖掘设备（105），在在线论坛（110）中标识（框305）多个意图陈述，以及数据挖掘设备（105），提取（块） 310）来自意图陈述的许多属性（240,245,250,255,260）。 用于提取在线论坛中表达的意图的系统（100）包括数据挖掘设备（105），论坛服务器（115），其包括通信地耦合到所述数据挖掘设备（105）的多个在线论坛（110），其中 数据挖掘设备识别在线论坛（110）内的许多意图陈述，并从意图陈述中提取多个属性（240,245,250,255,260）。
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公开(公告)号：US20130263019A1
公开(公告)日：2013-10-03
申请号：US13436541
申请日：2012-03-30
IPC分类号： G06F3/01
CPC分类号： G06Q50/01
摘要： A system, method and a non-transitory computer readable medium comprising instructions for automated analysis of for analyzing social media, the method comprising a processor to acquire data as a snapshot or a continuous stream from one or more online sites via adapters. Storing data in a database, the database configured for rapid acquisition of data and rapid responses to queries from one or a plurality of users. Analyzing the data using one or a plurality of algorithms, the algorithms configured to distill insight at an attribute level, and presenting one or a plurality of graphical user interfaces on a user-configurable, and temporal-view adjustable dashboard, the dashboard configured to present one or more results of said one or a plurality of algorithms, said one or more results depicted through one or a plurality of paradigms of data visualization.
摘要翻译： 一种包括用于分析社交媒体的自动分析的指令的系统，方法和非暂时计算机可读介质，所述方法包括处理器，以通过适配器从一个或多个在线站点获取数据作为快照或连续流。 将数据存储在数据库中，数据库配置为快速获取数据，并快速响应来自一个或多个用户的查询。 使用一个或多个算法来分析数据，所述算法被配置为在属性级别上提取洞察力，以及在用户可配置和时间视图可调节仪表板上呈现一个或多个图形用户界面，所述仪表板被配置为呈现 所述一个或多个算法的一个或多个结果，所述一个或多个结果通过数据可视化的一个或多个范例描绘。
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公开(公告)号：US20130103385A1
公开(公告)日：2013-04-25
申请号：US13280031
申请日：2011-10-24
申请人： Riddhiman Ghosh , Lei Zhang , Mohamed E. Dekhil
发明人： Riddhiman Ghosh , Lei Zhang , Mohamed E. Dekhil
IPC分类号： G06F17/27
CPC分类号： G06N99/005 , G06F17/2785 , G06F17/3071 , G06Q30/02
摘要： There is provided a computer-implemented method of performing sentiment analysis. An exemplary method comprises performing a first sentiment analysis on microblogging data based on a method using an opinion lexicon. The method also includes training a classifier using training data from the first sentiment analysis. Additionally, the method includes identifying a new opinion term in the microblogging data by performing a statistical test. The new opinion terms are not in the opinion lexicon. The method also includes identifying new microblogging data based on the new opinion term. Further, the method includes performing a second sentiment analysis on the new microblogging data using the classifier.
摘要翻译： 提供了一种执行情绪分析的计算机实现方法。 一种示例性方法包括基于使用意见词典的方法对微博数据执行第一情绪分析。 该方法还包括使用来自第一情绪分析的训练数据训练分类器。 此外，该方法包括通过进行统计测试来识别微博数据中的新意见词。 新的意见条款不在意图词典中。 该方法还包括基于新的意见词来识别新的微博数据。 此外，该方法包括使用分类器对新的微博数据执行第二情绪分析。
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公开(公告)号：US20100257470A1
公开(公告)日：2010-10-07
申请号：US12418484
申请日：2009-04-03
CPC分类号： G06Q30/02 , G06Q10/06 , G06Q30/0251
摘要： An application for personal project management stored on a computer-readable medium, the application includes a workflow engine; a constraint programming solver and a user interface configured to receive input from a user input device to create a workflow model of a personal project. The constraint programming solver is configured to modify the workflow model during both design and run-time by adding suggestions or advertisements. The workflow engine is configured to present the workflow model through the user interface.
摘要翻译： 存储在计算机可读介质上的用于个人项目管理的应用程序包括工作流引擎; 约束规划解算器和用户界面，其被配置为从用户输入设备接收输入以创建个人项目的工作流模型。 约束编程解算器被配置为通过添加建议或广告来在设计和运行时修改工作流模型。 工作流引擎配置为通过用户界面呈现工作流模型。
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公开(公告)号：US07756755B2
公开(公告)日：2010-07-13
申请号：US11823520
申请日：2007-06-28
申请人： Riddhiman Ghosh , Jhilmil Jain , Mohamed E. Dekhil
发明人： Riddhiman Ghosh , Jhilmil Jain , Mohamed E. Dekhil
IPC分类号： G06Q30/00
CPC分类号： G06Q30/02 , G06Q30/0601
摘要： System and method for capturing and utilizing consumer purchase intent information comprise obtaining item information, from a user, in a plurality of formats from a plurality of sources, extracting keywords from the item information, organizing item information and keywords in a shopping list, and enabling a display of the shopping list to the user.
摘要翻译： 用于捕获和利用消费者购买意图信息的系统和方法包括从多个来源从多个格式从用户获取项目信息，从项目信息中提取关键词，在购物清单中组织项目信息和关键字，以及启用 向用户显示购物清单。
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公开(公告)号：US09009024B2
公开(公告)日：2015-04-14
申请号：US13280040
申请日：2011-10-24
申请人： Lei Zhang , Riddhiman Ghosh , Mohamed E. Dekhil
发明人： Lei Zhang , Riddhiman Ghosh , Mohamed E. Dekhil
CPC分类号： G06F17/2785 , G06Q50/01
摘要： There is provided a computer-implemented method of performing sentiment analysis. An exemplary method comprises identifying one or more sentences in a microblog. The microblog comprises an entity. The method further includes identifying one or more opinion words in the sentences based on an opinion lexicon. Additionally, the method includes determining, for each of the sentences, an opinion value for the entity. The opinion value is determined based on an opinion value for each of the opinion words in an opinion lexicon.
摘要翻译： 提供了一种执行情绪分析的计算机实现方法。 示例性方法包括识别微博中的一个或多个句子。 微博包括一个实体。 该方法还包括基于意见词典来识别句子中的一个或多个意见词。 另外，该方法包括为每个句子确定该实体的意见值。 意见价值是根据意见词典中每个意见词的意见价值来确定的。
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