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：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：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。