公开(公告)号：US10013659B2

公开(公告)日：2018-07-03

申请号：US14731445

申请日：2015-06-05

Applicant: XEROX CORPORATION

Inventor： Juan Li ,  Sumit Bhatia ,  Chandrima Sarkar

IPC: G06N99/00 ,  G06Q50/00

CPC classification number: G06N20/00 ,  G06Q50/01

Abstract: The disclosed embodiments illustrate methods and systems for creating a classifier for predicting a personality type of users. The method includes receiving a first tag for messages, from a crowdsourcing platform. The first tag relates to personality type of users. Further, the messages, tagged with first tag are segregated into a training data and a testing data. Further, parameters associated with set of messages in the training data are determined based on type of messages. Further, classifiers are trained for a personality type. Further, a second tag for set of messages in testing data is predicted using trained classifiers for a combination of parameters. A performance of classifiers is determined by comparing the second tag and the first tag associated with set of messages in the testing data. A classifier is selected from classifiers, which is indicative of a best combination of parameters to predict personality type of users.

公开(公告)号：US20160132788A1

公开(公告)日：2016-05-12

申请号：US14731445

申请日：2015-06-05

Applicant: XEROX CORPORATION

Inventor： Juan Li ,  Sumit Bhatia ,  Chandrima Sarkar

IPC: G06N99/00 ,  G06N5/04

CPC classification number: G06N99/005 ,  G06Q50/01

Abstract: The disclosed embodiments illustrate methods and systems for creating a classifier for predicting a personality type of users. The method includes receiving a first tag for messages, from a crowdsourcing platform. The first tag relates to personality type of users. Further, the messages, tagged with first tag are segregated into a training data and a testing data. Further, parameters associated with set of messages in the training data are determined based on type of messages. Further, classifiers are trained for a personality type. Further, a second tag for set of messages in testing data is predicted using trained classifiers for a combination of parameters. A performance of classifiers is determined by comparing the second tag and the first tag associated with set of messages in the testing data. A classifier is selected from classifiers, which is indicative of a best combination of parameters to predict personality type of users.

Abstract translation: 所公开的实施例示出了用于创建用于预测用户的个性类型的分类器的方法和系统。 该方法包括从众包平台接收消息的第一标签。 第一个标签涉及用户的个性类型。 此外，用第一标签标记的消息被分离成训练数据和测试数据。 此外，基于消息的类型确定与训练数据中的消息集相关联的参数。 此外，分类器是针对个性类型进行训练的。 此外，使用用于参数组合的训练分类器来预测用于测试数据中的消息集合的第二标签。 分类器的性能通过比较第二标签和与测试数据中的消息集相关联的第一标签来确定。 从分类器中选择分类器，这表示预测用户个性类型的参数的最佳组合。

公开(公告)号：US09645994B2

公开(公告)日：2017-05-09

申请号：US14564170

申请日：2014-12-09

Applicant: XEROX CORPORATION

Inventor： Arvind Agarwal ,  Saurabh Kataria ,  Tong Sun ,  Sumit Bhatia

IPC: G06F17/27 ,  G06Q30/00 ,  G06Q50/00 ,  G10L15/06 ,  G06F19/24 ,  G06N99/00

CPC classification number: G06F17/274 ,  G06F17/2765 ,  G06F17/2775 ,  G06F17/279 ,  G06F19/24 ,  G06N99/005 ,  G06Q30/00 ,  G06Q50/01 ,  G10L15/06

Abstract: The technical solution under the present disclosure automatically analyzes conversations between users by receiving a training dataset having a text sequence including sentences of a conversation between the users; extracting feature(s) from the training dataset based on features; providing equation(s) for a plurality of tasks, the equation(s) being a mathematical function for calculating value of a parameter for each of the tasks based on the extracted feature; determining value of the parameter for tasks by processing the equation(s); assigning label(s) to each of the sentences based on the determined value of the parameter, a first label being selected from a plurality of first labels, and a second label being selected from a number of second labels; and storing and maintaining with the database a pre-defined value of the parameter, first labels, conversations, second labels, a test dataset, equation(s), and pre-defined features.

公开(公告)号：US20150058344A1

公开(公告)日：2015-02-26

申请号：US13973927

申请日：2013-08-22

Applicant: XEROX CORPORATION

Inventor： Sumit Bhatia ,  Jingxuan Li ,  Wei Peng ,  Tong Sun

IPC: G06F17/30

CPC classification number: G06F17/30598

Abstract: A system and method for analyzing social media data by obtaining social media data from a social media platform, where the social media data includes documents from multiple users of the social media platform; classifying the documents using a sentiment classifier; tokenizing the documents into terms; associating a sentiment with each term; detecting a first event based on a number of occurrences of a first term in the documents; and providing information associated with the event to a user, where the information includes the first term and a sentiment associated with the first term.

Abstract translation: 一种用于通过从社交媒体平台获得社交媒体数据来分析社交媒体数据的系统和方法，其中所述社交媒体数据包括来自所述社交媒体平台的多个用户的文档; 使用情感分类器对文档进行分类; 将文件划分成术语; 将情绪与每个术语联系起来; 基于所述文档中的第一项的出现次数来检测第一事件; 以及向所述用户提供与所述事件相关联的信息，其中所述信息包括所述第一项和与所述第一项相关联的情绪。

公开(公告)号：US20160162474A1

公开(公告)日：2016-06-09

申请号：US14564170

申请日：2014-12-09

Applicant: XEROX CORPORATION

Inventor： Arvind Agarwal ,  Saurabh Kataria ,  Tong Sun ,  Sumit Bhatia

IPC: G06F17/28 ,  G06F17/27

CPC classification number: G06F17/274 ,  G06F17/2765 ,  G06F17/2775 ,  G06F17/279 ,  G06F19/24 ,  G06N99/005 ,  G06Q30/00 ,  G06Q50/01 ,  G10L15/06

Abstract: The technical solution under the present disclosure automatically analyzes conversations between users by receiving a training dataset having a text sequence including sentences of a conversation between the users; extracting feature(s) from the training dataset based on features; providing equation(s) for a plurality of tasks, the equation(s) being a mathematical function for calculating value of a parameter for each of the tasks based on the extracted feature; determining value of the parameter for tasks by processing the equation(s); assigning label(s) to each of the sentences based on the determined value of the parameter, a first label being selected from a plurality of first labels, and a second label being selected from a number of second labels; and storing and maintaining with the database a pre-defined value of the parameter, first labels, conversations, second labels, a test dataset, equation(s), and pre-defined features.

Abstract translation: 本公开的技术方案通过接收具有包括用户之间的会话的句子的文本序列的训练数据集来自动分析用户之间的对话; 基于特征从训练数据集中提取特征; 提供多个任务的等式，所述方程式是用于基于所提取的特征来计算每个任务的参数的值的数学函数; 通过处理方程确定任务参数的值; 基于所确定的参数值，从多个第一标签中选择第一标签和从多个第二标签中选择的第二标签，将标签分配给每个句子; 并且使用数据库存储和维护参数的预定义值，第一标签，对话，第二标签，测试数据集，等式和预定义的特征。

公开(公告)号：US09213730B2

公开(公告)日：2015-12-15

申请号：US13965924

申请日：2013-08-13

Applicant: Xerox Corporation

Inventor： Sumit Bhatia ,  Saurabh Kataria ,  Wei Peng ,  Tong Sun

IPC: G06F17/30

CPC classification number: G06F17/30336 ,  G06F17/3053 ,  G06F17/30616 ,  G06F17/30663

Abstract: A method, non-transitory computer readable medium, and apparatus for extracting text from a social media document are disclosed. For example, the method indexes a plurality of social media documents into a plurality of snippets, receives a query including one or more keywords and a purpose, identifies one or more of the plurality of snippets that include the one or more keywords in an index, ranks the one or more of the plurality of snippets in accordance with the purpose and provides the one or more plurality of snippets that are ranked in accordance with the purpose.

Abstract translation: 公开了一种用于从社交媒体文档中提取文本的方法，非暂时计算机可读介质和装置。 例如，该方法将多个社交媒体文档索引到多个片段中，接收包括一个或多个关键字和目的的查询，识别包括索引中的一个或多个关键字的多个片段中的一个或多个片段， 根据目的对多个片段中的一个或多个片段进行排序，并提供根据目的排列的一个或多个片段。

公开(公告)号：US09489592B2

公开(公告)日：2016-11-08

申请号：US14561895

申请日：2014-12-05

Applicant: Xerox Corporation

Inventor： Quanzeng You ,  Sumit Bhatia

IPC: G06K9/66 ,  G06K9/46 ,  G06K9/00

CPC classification number: G06K9/4676 ,  G06K9/00677 ,  G06T2207/10004

Abstract: Methods and systems provide electronic instructions to a non-transitory electronic storage hardware device to record images uploaded by a user over a computerized network to a social networking site, and to record categories of network site locations to which the images are uploaded by the user. These methods and systems also provide electronic instructions to a computerized electronic image processor hardware device to analyze features within the images to identify content of each of the images, and to determine the user characteristics based on the categories of network site locations to which the images are uploaded by the user and on the content of the images uploaded by the user. Also, such methods and systems provide electronic instructions to the computerized electronic image processor hardware device to output the user characteristics on a graphic user interface hardware device.

Abstract translation: 方法和系统向非瞬时电子存储硬件设备提供电子指令，以将由用户通过计算机化网络上传的图像记录到社交网站，以及记录图像由用户上传到的网站位置的类别。 这些方法和系统还向计算机化的电子图像处理器硬件设备提供电子指令以分析图像内的特征以识别每个图像的内容，并且基于图像所在的网站位置的类别来确定用户特征 由用户上传并由用户上传的图像的内容。 此外，这样的方法和系统向计算机化的电子图像处理器硬件设备提供电子指令，以在图形用户界面硬件设备上输出用户特性。

公开(公告)号：US20160162751A1

公开(公告)日：2016-06-09

申请号：US14561895

申请日：2014-12-05

Applicant: Xerox Corporation

Inventor： Quanzeng You ,  Sumit Bhatia

IPC: G06K9/46 ,  G06K9/48

CPC classification number: G06K9/4676 ,  G06K9/00677 ,  G06T2207/10004

Abstract: Methods and systems provide electronic instructions to a non-transitory electronic storage hardware device to record images uploaded by a user over a computerized network to a social networking site, and to record categories of network site locations to which the images are uploaded by the user. These methods and systems also provide electronic instructions to a computerized electronic image processor hardware device to analyze features within the images to identify content of each of the images, and to determine the user characteristics based on the categories of network site locations to which the images are uploaded by the user and on the content of the images uploaded by the user. Also, such methods and systems provide electronic instructions to the computerized electronic image processor hardware device to output the user characteristics on a graphic user interface hardware device.

Abstract translation: 方法和系统向非瞬时电子存储硬件设备提供电子指令，以将由用户通过计算机化网络上传的图像记录到社交网站，以及记录图像由用户上传到的网站位置的类别。 这些方法和系统还向计算机化的电子图像处理器硬件设备提供电子指令以分析图像内的特征以识别每个图像的内容，并且基于图像所在的网站位置的类别来确定用户特征 由用户上传并由用户上传的图像的内容。 此外，这样的方法和系统向计算机化的电子图像处理器硬件设备提供电子指令，以在图形用户界面硬件设备上输出用户特性。

公开(公告)号：US09256663B2

公开(公告)日：2016-02-09

申请号：US13973927

申请日：2013-08-22

Applicant: XEROX CORPORATION

Inventor： Sumit Bhatia ,  Jingxuan Li ,  Wei Peng ,  Tong Sun

IPC: G06F17/30

CPC classification number: G06F17/30598

Abstract: A system and method for analyzing social media data by obtaining social media data from a social media platform, where the social media data includes documents from multiple users of the social media platform; classifying the documents using a sentiment classifier; tokenizing the documents into terms; associating a sentiment with each term; detecting a first event based on a number of occurrences of a first term in the documents; and providing information associated with the event to a user, where the information includes the first term and a sentiment associated with the first term.

Abstract translation: 一种用于通过从社交媒体平台获得社交媒体数据来分析社交媒体数据的系统和方法，其中所述社交媒体数据包括来自所述社交媒体平台的多个用户的文档; 使用情感分类器对文档进行分类; 将文件标记为条款; 将情绪与每个术语联系起来; 基于所述文档中的第一项的出现次数来检测第一事件; 以及向所述用户提供与所述事件相关联的信息，其中所述信息包括所述第一项和与所述第一项相关联的情绪。