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：US20150052120A1

公开(公告)日：2015-02-19

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：US10853820B2

公开(公告)日：2020-12-01

申请号：US13836233

申请日：2013-03-15

Applicant: Xerox Corporation

Inventor： Lei Li ,  Wei Peng ,  Saurabh Kataria ,  Tong Sun

IPC: G06Q50/00 ,  G06Q30/00

Abstract: A method, non-transitory computer readable medium, and apparatus for recommending a topic-cohesive and interactive implicit community are disclosed. For example, the method receives a request for customer care, selects an implicit community identified from a plurality of individual users of a social media website based upon a relevance score related to a topic of the request for customer care and recommends the implicit community in response to the request for customer care.

公开(公告)号：US09330422B2

公开(公告)日：2016-05-03

申请号：US13833858

申请日：2013-03-15

Applicant: Xerox Corporation ,  Palo Alto Research Center Incorporated

Inventor： Julien Jean Lucien Bourdaillet ,  Wei Peng ,  Tong Sun ,  Margaret Helen Szymanski

IPC: G06Q50/00 ,  G06Q10/10 ,  H04L29/06

CPC classification number: G06Q50/01 ,  G06Q10/107 ,  H04L65/40

Abstract: The present disclosure provides a system that allows for the real-time and online monitoring of the exchanges between customers and a CRM team over social media. While crawling all messages exchanged over the social media by customers and CRM team, the system aggregates related messages exchanged between a given customer and the CRM team into a conversation. The system includes a linguistic framework for the analysis of conversations (based on the two linguistic theories of dialog acts and conversation analysis) to label the nature of the messages in a conversation or thread.

Abstract translation: 本公开提供了一种系统，其允许在社交媒体上实时和在线地监视客户和CRM团队之间的交换。 客户和CRM团队在通过社交媒体交换的所有消息进行爬行时，将给定客户和CRM团队之间交换的相关消息合并成一个对话。 该系统包括用于分析会话（基于对话行为和对话分析的两种语言学理论）的语言框架，以标记会话或线程中的消息的性质。

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：US20140279618A1

公开(公告)日：2014-09-18

申请号：US13836233

申请日：2013-03-15

Applicant: XEROX CORPORATION

Inventor： LEI LI ,  Wei Peng ,  Saurabh Kataria ,  Tong Sun

IPC: G06Q30/00 ,  G06Q50/00

CPC classification number: G06Q30/01 ,  G06Q50/01

Abstract: A method, non-transitory computer readable medium, and apparatus for recommending a topic-cohesive and interactive implicit community are disclosed. For example, the method receives a request for customer care, selects an implicit community identified from a plurality of individual users of a social media website based upon a relevance score related to a topic of the request for customer care and recommends the implicit community in response to the request for customer care.

Abstract translation: 公开了一种方法，非暂时性计算机可读介质和用于推荐主题 - 内聚和交互式隐式社区的装置。 例如，该方法接收对客户关怀的请求，基于与客户关怀请求的主题相关的相关性得分，选择从社交媒体网站的多个个体用户识别的隐式社区，并且响应于该隐含社区 要求客户关怀。

公开(公告)号：US20140250032A1

公开(公告)日：2014-09-04

申请号：US13782463

申请日：2013-03-01

Applicant: XEROX CORPORATION

Inventor： Shu Huang ,  Wei Peng ,  Jingxuan Li

IPC: G06N99/00

CPC classification number: G06N20/00

Abstract: Methods, systems and processor-readable media for simultaneous sentiment analysis and topic classification with multiple labels. A sentiment and topic associated with a post can be classified at similar time and a result can be incorporated to predict a feature so that a label of two (or more) tasks can promote and reinforce each other iteratively. A feature extraction and selection can be performed on the tasks and a multi-task multi-label classification model can be trained for each task with maximum entropy utilizing multiple labels to ascertain information derived from an extra label and to manage class ambiguities. Each task has a separate classification model with different predicting features and they can be trained collectively which allows flexibility in model construction. The multi-task multi-label classification model produces a probabilistic result and the classes can be ranked by the probabilistic result and the post can be classified with the multi-label.

Abstract translation: 方法，系统和处理器可读介质，用于同时情绪分析和具有多个标签的主题分类。 与帖子相关联的情绪和主题可以在类似的时间进行分类，并且可以并入结果以预测特征，使得两个（或多个）任务的标签可以迭代地促进和加强彼此。 可以对任务执行特征提取和选择，并且可以使用多个标签来利用最大熵来为每个任务训练多任务多标签分类模型，以确定从额外标签导出的信息并管理类模糊度。 每个任务都有一个单独的分类模型，具有不同的预测特征，它们可以集体训练，可以在模型构建中实现灵活性。 多任务多标签分类模型产生概率结果，并且可以通过概率结果对类进行排序，并且可以使用多标签对帖子进行分类。

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。

公开(公告)号：US20150309962A1

公开(公告)日：2015-10-29

申请号：US14262391

申请日：2014-04-25

Applicant: Xerox Corporation

Inventor： MOSHE LICHMAN ,  Wei Peng ,  Tong Sun ,  Ming Yang

IPC: G06F17/18 ,  H04L29/08 ,  H04L12/58

CPC classification number: G06Q20/4016 ,  G06F2221/2111 ,  G06Q10/04 ,  G06Q10/063 ,  G06Q10/10 ,  G06Q50/01 ,  H04L51/20 ,  H04L51/32 ,  H04L67/18 ,  H04L67/22 ,  H04W4/029

Abstract: A method, non-transitory computer readable medium, and apparatus for predicting a location behavior of at least one individual are disclosed. For example, the method receives a plurality of social networking messages having spatial location data and user identification information, filters the plurality of social networking messages to remove one or more of the plurality of social networking messages that are not related to mobility of a user to create a filtered plurality of social networking messages, creates a population model by applying a kernel density estimation to the filtered plurality of social networking messages, creates an individual model for each different user identification by applying the kernel density estimation to a subset of the filtered plurality of social networking messages for the each different user identification and generates a probability density function map that predicts the location behavior of the at least one individual.

Abstract translation: 公开了一种用于预测至少一个人的位置行为的方法，非暂时计算机可读介质和装置。 例如，该方法接收具有空间位置数据和用户识别信息的多个社交网络消息，对多个社交网络消息进行过滤以去除与用户移动性无关的多个社交网络消息中的一个或多个 创建过滤的多个社交网络消息，通过将核密度估计应用于经筛选的多个社交网络消息来创建群体模型，通过将核密度估计应用于经滤波的多个社会网络消息的子集来为每个不同的用户标识创建个体模型 的用于每个不同用户标识的社交网络消息，并且生成预测所述至少一个人的位置行为的概率密度函数图。

公开(公告)号：US20140280621A1

公开(公告)日：2014-09-18

申请号：US13833858

申请日：2013-03-15

Applicant: PALO ALTO RESEARCH CENTER INCORPORATED ,  XEROX CORPORATION

Inventor： Julien Jean Lucien Bourdaillet ,  Wei Peng ,  Tong Sun ,  Margaret Helen Szymanski

IPC: H04L29/06

CPC classification number: G06Q50/01 ,  G06Q10/107 ,  H04L65/40

Abstract: The present disclosure provides a system that allows for the real-time and online monitoring of the exchanges between customers and a CRM team over social media. While crawling all messages exchanged over the social media by customers and CRM team, the system aggregates related messages exchanged between a given customer and the CRM team into a conversation. The system includes a linguistic framework for the analysis of conversations (based on the two linguistic theories of dialog acts and conversation analysis) to label the nature of the messages in a conversation or thread.

Abstract translation: 本公开提供了一种系统，其允许在社交媒体上实时和在线地监视客户和CRM团队之间的交换。 客户和CRM团队在通过社交媒体交换的所有消息进行爬行时，将给定客户和CRM团队之间交换的相关消息合并成一个对话。 该系统包括用于分析会话（基于对话行为和对话分析的两种语言学理论）的语言框架，以标记会话或线程中的消息的性质。