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1. 发明申请

US20150106155A1 Determining and Visualizing Social Media Expressed Sentiment 审中-公开
标题翻译：确定和可视化社交媒体表达情绪
公开(公告)号：US20150106155A1
公开(公告)日：2015-04-16
申请号：US14003163
申请日：2011-06-08
申请人： Maria Guadalupe Castellanos , Perla Ruiz , Mohamed Dekhil , Meichun Hsu , Riddhiman Ghosh
发明人： Maria Guadalupe Castellanos , Perla Ruiz , Mohamed Dekhil , Meichun Hsu , Riddhiman Ghosh
IPC分类号： G06Q30/02 , G06Q50/00
CPC分类号： G06Q30/0201 , G06Q50/01
摘要： A technique includes determining social media expressed sentiment, including processing data indicative of a plurality of social media messages to decompose each of the social media messages into a plurality of attributes; for each social media message, identifying attributes of the plurality of attributes, which are associated with user selected attribute categories and are part of the message, and for each identified attribute, assigning a sentiment to the attribute and updating statistics for the selected attribute categories based on the assigned sentiment. The technique includes visualizing the social media expressed sentiment, including displaying at least some of the statistics.
摘要翻译：一种技术包括确定社交媒体表达的情绪，包括处理指示多个社交媒体消息的数据，以将每个社交媒体消息分解成多个属性; 对于每个社交媒体消息，识别与用户选择的属性类别相关联并且是消息的一部分的多个属性的属性，并且对于每个识别的属性，分配对该属性的感觉并且基于所选择的属性类别更新统计信息对指派的情绪。该技术包括可视化社交媒体表达的情绪，包括显示至少一些统计信息。

2. 发明申请

US20130325440A1 GENERATION OF EXPLANATORY SUMMARIES 有权
标题翻译：解释性概述的产生
公开(公告)号：US20130325440A1
公开(公告)日：2013-12-05
申请号：US13485730
申请日：2012-05-31
申请人： Hyun Duk KIM , Maria G. Castellanos , Meichun Hsu , Riddhiman Ghosh
发明人： Hyun Duk KIM , Maria G. Castellanos , Meichun Hsu , Riddhiman Ghosh
IPC分类号： G06F17/27
CPC分类号： G06F17/27 , G06F17/30719 , G06F17/30864
摘要： A method for generating sum maries of text is described. The method includes the step of extracting features from text of text lists from summaries. The explanatoriness of the text is then evaluated, wherein evaluating the explanatoriness of text includes evaluating the features of the text, including at least the step of evaluating the discriminativeness of the features of the text by comparing the text to a first text data set, wherein the first text data set is derived from a topic label. The evaluated text is then ranked based on the explanatoriness evaluation.
摘要翻译：描述了一种产生文本总结的方法。该方法包括从摘要文本列表中提取特征的步骤。然后评估文本的解释性，其中评估文本的解释性包括评估文本的特征，包括至少通过将文本与第一文本数据集进行比较来评估文本的特征的歧视性的步骤，其中第一个文本数据集是从主题标签派生出来的。然后根据解释性评估对评估文本进行排名。

3. 发明申请

US20130263019A1 ANALYZING SOCIAL MEDIA 审中-公开
标题翻译：分析社会媒体
公开(公告)号：US20130263019A1
公开(公告)日：2013-10-03
申请号：US13436541
申请日：2012-03-30
申请人： Maria G. CASTELLANOS , Umeshwar Dayal , Riddhiman Ghosh , Meichun Hsu
发明人： Maria G. CASTELLANOS , Umeshwar Dayal , Riddhiman Ghosh , Meichun Hsu
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。

4. 发明授权

US09189470B2 Generation of explanatory summaries 有权
标题翻译：生成解释性摘要
公开(公告)号：US09189470B2
公开(公告)日：2015-11-17
申请号：US13485730
申请日：2012-05-31
申请人： Hyun Duk Kim , Maria G Castellanos , Meichun Hsu , Riddhiman Ghosh
发明人： Hyun Duk Kim , Maria G Castellanos , Meichun Hsu , Riddhiman Ghosh
IPC分类号： G06F17/27 , G06F17/30
CPC分类号： G06F17/27 , G06F17/30719 , G06F17/30864
摘要： A method for generating summaries of text is described. The method includes the step of extracting features from text of text lists from summaries. The explanatoriness of the text is then evaluated, wherein evaluating the explanatoriness of text includes evaluating the features of the text, including at least the step of evaluating the discriminativeness of the features of the text by comparing the text to a first text data set, wherein the first text data set is derived from a topic label. The evaluated text is then ranked based on the explanatoriness evaluation.
摘要翻译：描述了一种生成文本摘要的方法。该方法包括从摘要文本列表中提取特征的步骤。然后评估文本的解释性，其中评估文本的解释性包括评估文本的特征，包括至少通过将文本与第一文本数据集进行比较来评估文本的特征的歧视性的步骤，其中第一个文本数据集是从主题标签派生出来的。然后根据解释性评估对评估文本进行排名。

5. 发明授权

US09064009B2 Attribute cloud 有权
标题翻译：属性云
公开(公告)号：US09064009B2
公开(公告)日：2015-06-23
申请号：US13432639
申请日：2012-03-28
申请人： Riddhiman Ghosh , Maria G Castellanos , Meichun Hsu
发明人： Riddhiman Ghosh , Maria G Castellanos , Meichun Hsu
IPC分类号： G06K9/00 , G06F17/30
CPC分类号： G06F17/30716
摘要： An example system includes at least one memory and at least one processing device. The at least one memory comprises instructions that when executed by the at least one processing device cause the system to receive a text corpus, filter the text corpus to obtain a plurality of attributes, determine the semantic cohesion between the plurality of attributes, and create an attribute cloud including the plurality of attributes, where the placement of the plurality of attributes within the attribute cloud is based at least in part on the determined semantic cohesion between the plurality of attributes.
摘要翻译：示例性系统包括至少一个存储器和至少一个处理设备。所述至少一个存储器包括指令，当所述至少一个处理设备执行时，使所述系统接收文本语料库，过滤所述文本语料库以获得多个属性，确定所述多个属性之间的语义内聚，并创建一个包括多个属性的属性云，其中属性云内的多个属性的放置至少部分地基于所确定的多个属性之间的语义内聚。

6. 发明申请

US20140108455A1 Capturing Intentions Within Online Text 有权
标题翻译：在线文本中捕获意图
公开(公告)号：US20140108455A1
公开(公告)日：2014-04-17
申请号：US14003140
申请日：2011-06-28
申请人： Maria G. Castellanos , Riddhiman Ghosh , Mohamed E. Dekhil , Umeshwar Dayal , Meichun Hsu
发明人： Maria G. Castellanos , Riddhiman Ghosh , Mohamed E. Dekhil , Umeshwar Dayal , Meichun Hsu
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）。

7. 发明申请

US20130259362A1 ATTRIBUTE CLOUD 有权
标题翻译：属性云
公开(公告)号：US20130259362A1
公开(公告)日：2013-10-03
申请号：US13432639
申请日：2012-03-28
申请人： Riddhiman Ghosh , Maria G. Castellanos , Meichun Hsu
发明人： Riddhiman Ghosh , Maria G. Castellanos , Meichun Hsu
IPC分类号： G06K9/00 , G06K9/36
CPC分类号： G06F17/30716
摘要： An example system includes at least one memory and at least one processing device. The at least one memory comprises instructions that when executed by the at least one processing device cause the system to receive a text corpus, filter the text corpus to obtain a plurality of attributes, determine the semantic cohesion between the plurality of attributes, and create an attribute cloud including the plurality of attributes, where the placement of the plurality of attributes within the attribute cloud is based at least in part on the determined semantic cohesion between the plurality of attributes.
摘要翻译：示例性系统包括至少一个存储器和至少一个处理设备。所述至少一个存储器包括指令，当所述至少一个处理设备执行时，使所述系统接收文本语料库，过滤所述文本语料库以获得多个属性，确定所述多个属性之间的语义内聚，并创建一个包括多个属性的属性云，其中属性云内的多个属性的放置至少部分地基于所确定的多个属性之间的语义内聚。

8. 发明授权

US09792377B2 Sentiment trent visualization relating to an event occuring in a particular geographic region 有权
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
IPC分类号： G06F17/30 , G06Q30/02
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.

9. 发明授权

US09411860B2 Capturing intentions within online text 有权
标题翻译：在线文本中捕获意图
公开(公告)号：US09411860B2
公开(公告)日：2016-08-09
申请号：US14003140
申请日：2011-06-28
申请人： Maria G. Castellanos , Riddhiman Ghosh , Mohamed E. Dekhil , Umeshwar Dayal , Meichun Hsu
发明人： Maria G. Castellanos , Riddhiman Ghosh , Mohamed E. Dekhil , Umeshwar Dayal , Meichun Hsu
IPC分类号： G06F17/30 , G06Q30/02
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）。

10. 发明授权

US08595151B2 Selecting sentiment attributes for visualization 有权
标题翻译：选择可视化的情感属性
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
IPC分类号： G06Q10/00 , G06Q30/00
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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