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1. 发明授权

US09043339B2 Extracting terms from document data including text segment 有权
标题翻译：从包括文本段的文档数据中提取术语
公开(公告)号：US09043339B2
公开(公告)日：2015-05-26
申请号：US13899020
申请日：2013-05-21
申请人： International Business Machines Corporation
发明人： Yohei Ikawa , Shiho Negishi , Hironori Takeuchi
IPC分类号： G06F17/30 , G06F17/28 , G06F17/27
CPC分类号： G06F17/28 , G06F17/277 , G06F17/30719
摘要： A computer system, method, and article of manufacture for extracting a term from electronic document data that includes a text segment. The system includes: a first extraction unit that uses a first text processing information to extract a noun word from the document data; a second extraction unit that uses a second text processing information to extract a term candidate in relation to the noun word or a corpus that includes text data described in the same language used in the document data; a weight assignment unit that uses a third text processing information to select which type to assign a weight from the plurality of types and assigns the weight to the selected type for each noun word and term candidate; a determination unit that determines the type to which the noun word and term candidate belong; and an output unit to output the noun word and term candidate.
摘要翻译：一种用于从包括文本段的电子文档数据中提取术语的计算机系统，方法和制品。该系统包括：第一提取单元，其使用第一文本处理信息从文档数据中提取名词单词; 第二提取单元，其使用第二文本处理信息来提取关于名词单词或包含文档数据中使用的相同语言描述的文本数据的语料库的词语候选者; 权重分配单元，其使用第三文本处理信息来选择从多个类型分配权重的类型，并且为每个名词词和词语候选者分配权重到所选择的类型; 确定单元，其确定名词词和词语候选所属的类型; 以及输出单元，用于输出名词单词和词语候选。

2. 发明授权

US09268747B2 Method for detecting negative opinions in social media, computer program product and computer 有权
标题翻译：检测社会媒体，计算机程序产品和电脑中的负面意见的方法
公开(公告)号：US09268747B2
公开(公告)日：2016-02-23
申请号：US13792307
申请日：2013-03-11
申请人： International Business Machines Corporation
发明人： Miki Enoki , Hiroshi Kanayama , Tetsuya Nasukawa , Shiho Negishi
IPC分类号： G06F17/27 , G06F17/21 , G06F17/30 , G06Q30/02
CPC分类号： G06F17/21 , G06F17/2715 , G06F17/277 , G06F17/2785 , G06F17/30728 , G06Q30/02 , G06Q30/0201
摘要： A method, device, and computer program product for detecting negative opinions in social media, computer program product, and computer. Negative opinions in social media can be precisely detected at an early stage. A method for processing, with a computer, a plurality of messages sent by a plurality of users over time includes the following steps: obtaining a plurality of messages, each including a specific proper noun; determining a politeness level of each of the plurality of messages, each including the specific proper noun; and calculating a proportion of messages having a politeness level lower than a certain threshold with respect to the plurality of messages, each including the specific proper noun.
摘要翻译：一种用于检测社交媒体，计算机程序产品和计算机中的负面意见的方法，设备和计算机程序产品。社会媒体的负面看法可以在早期阶段得到准确的检测。一种用计算机处理由多个用户随时间发送的多个消息的方法，包括以下步骤：获得多个消息，每个消息包括特定的专有名词; 确定所述多个消息中的每一个的礼貌级别，每个消息包括所述特定专有名词; 以及相对于所述多个消息计算具有低于某个阈值的礼貌度的消息的比例，每个消息包括所述特定专有名词。

3. 发明授权

US09158756B2 Computer-implemented method, program, and system for identifying non-self-descriptive terms in electronic documents 有权
标题翻译：用于识别电子文档中非自描述性术语的计算机实现的方法，程序和系统
公开(公告)号：US09158756B2
公开(公告)日：2015-10-13
申请号：US13800277
申请日：2013-03-13
申请人： International Business Machines Corporation
发明人： Shiho Negishi , Hironori Takeuchi
IPC分类号： G06F17/27 , G06F17/30
CPC分类号： G06F17/2735 , G06F17/30734
摘要： A computer-implemented method, program, and system for identifying non-self-descriptive terms in electronic documents. The computer-implemented method for identifying a non-self-descriptive term in an electronic document, includes a memory and a processor communicatively coupled to the memory and configured to execute the steps of a method. The method includes acquiring a noun included in the corpus data. The method further includes calculating a qualifying level and a qualified level in the corpus data related to each known in the corpus data. The method further includes identifying one or more nouns included in the corpus data as having a qualifying level and/or qualified level satisfying a predetermined condition. The method further includes presenting a term related to one or more of the nouns in the electronic document as a candidate for the non-self-descriptive term in the electronic document.
摘要翻译：用于识别电子文档中的非自描述性术语的计算机实现的方法，程序和系统。用于识别电子文档中的非自描述性术语的计算机实现的方法包括通信地耦合到存储器并被配置为执行方法的步骤的存储器和处理器。该方法包括获取包含在语料库数据中的名词。该方法还包括计算在语料库数据中与每个已知的语料库数据相关的限定级别和合格级别。该方法还包括将包含在语料库数据中的一个或多个名词识别为具有满足预定条件的限定级别和/或合格级别。该方法还包括在电子文档中呈现与一个或多个名词相关的术语作为电子文档中非自描述术语的候选者。

4. 发明申请

US20130253916A1 EXTRACTING TERMS FROM DOCUMENT DATA INCLUDING TEXT SEGMENT 有权
标题翻译：从包含文本分段的文档数据中提取条款
公开(公告)号：US20130253916A1
公开(公告)日：2013-09-26
申请号：US13899020
申请日：2013-05-21
申请人： International Business Machines Corporation
发明人： Yohei Ikawa , Shiho Negishi , Hironori Takeuchi
IPC分类号： G06F17/28
CPC分类号： G06F17/28 , G06F17/277 , G06F17/30719
摘要： A computer system, method, and article of manufacture for extracting a term from electronic document data that includes a text segment. The system includes: a first extraction unit that uses a first text processing information to extract a noun word from the document data; a second extraction unit that uses a second text processing information to extract a term candidate in relation to the noun word or a corpus that includes text data described in the same language used in the document data; a weight assignment unit that uses a third text processing information to select which type to assign a weight from the plurality of types and assigns the weight to the selected type for each noun word and term candidate; a determination unit that determines the type to which the noun word and term candidate belong; and an output unit to output the noun word and term candidate.
摘要翻译：一种用于从包括文本段的电子文档数据中提取术语的计算机系统，方法和制品。该系统包括：第一提取单元，其使用第一文本处理信息从文档数据中提取名词单词; 第二提取单元，其使用第二文本处理信息来提取关于名词单词或包含文档数据中使用的相同语言描述的文本数据的语料库的词语候选者; 权重分配单元，其使用第三文本处理信息来选择从多个类型分配权重的类型，并且为每个名词词和词语候选者分配权重到所选择的类型; 确定单元，其确定名词词和词语候选所属的类型; 以及输出单元，用于输出名词单词和词语候选。

5. 发明申请

US20140129297A1 DETERMINING CALCULATION EXPRESSION FOR FINDING KPI RELATING TO BUSINESS PROCESS 审中-公开
标题翻译：确定与业务流程相关的关键绩效指标的计算表达式
公开(公告)号：US20140129297A1
公开(公告)日：2014-05-08
申请号：US14065627
申请日：2013-10-29
申请人： International Business Machines Corporation
发明人： Futoshi Iwama , Kohichi Kamijoh , Yasuharu Katsuno , Yuhichi Nakamura , Shiho Negishi
IPC分类号： G06Q10/06
CPC分类号： G06Q10/06393
摘要： A computer-implemented method is disclosed for determining a calculation expression for finding a KPI relating to a business process (process KPI) on the basis of a KPI obtained in each task (task KPI), the business process being representable as a graph structure including a plurality of tasks and edges representing how processing of the tasks proceeds. The method includes preparing a table defining a group of composite operation expressions for the task KPIs of the plurality of tasks, the composite operation expressions being associated with a predetermined relation of the plurality of tasks for each task KPI type; determining composite operation expressions for the task KPIs over the business process for each task KPI type by referring to the table; and creating a calculation expression for finding the process KPI of the business process using the composite operation expressions for the task KPIs over the business process.
摘要翻译：公开了一种计算机实现的方法，用于基于在每个任务（任务KPI）中获得的KPI来确定用于找到与业务过程（过程KPI）相关的KPI的计算表达式，业务过程可被表示为图形结构，包括多个任务和边缘表示任务的处理如何进行。该方法包括：准备一个表，为多个任务的任务KPI定义一组复合操作表达式，该复合操作表达式与每个任务KPI类型的多个任务的预定关系相关联; 通过参考表来确定每个任务KPI类型的业务流程上的任务KPI的复合操作表达式; 并创建一个计算表达式，用于使用业务流程上的任务KPI的复合操作表达式来查找业务流程的进程KPI。

6. 发明申请

US20130262088A1 Computer-Implemented Method, Program, and System for Identifying Non-Self-Descriptive Terms in Electronic Documents 有权
标题翻译：计算机实现的方法，程序和系统，用于识别电子文档中的非自我描述性术语
公开(公告)号：US20130262088A1
公开(公告)日：2013-10-03
申请号：US13800277
申请日：2013-03-13
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Shiho Negishi , Hironori Takeuchi
IPC分类号： G06F17/27
CPC分类号： G06F17/2735 , G06F17/30734
摘要： A computer-implemented method, program, and system for identifying non-self-descriptive terms in electronic documents. The computer-implemented method for identifying a non-self-descriptive term in an electronic document, includes a memory and a processor communicatively coupled to the memory and configured to execute the steps of a method. The method includes acquiring a noun included in the corpus data. The method further includes calculating a qualifying level and a qualified level in the corpus data related to each known in the corpus data. The method further includes identifying one or more nouns included in the corpus data as having a qualifying level and/or qualified level satisfying a predetermined condition. The method further includes presenting a term related to one or more of the nouns in the electronic document as a candidate for the non-self-descriptive term in the electronic document.
摘要翻译：用于识别电子文档中的非自描述性术语的计算机实现的方法，程序和系统。用于识别电子文档中的非自描述性术语的计算机实现的方法包括通信地耦合到存储器并被配置为执行方法的步骤的存储器和处理器。该方法包括获取包含在语料库数据中的名词。该方法还包括计算在语料库数据中与每个已知的语料库数据相关的限定级别和合格级别。该方法还包括将包含在语料库数据中的一个或多个名词识别为具有满足预定条件的限定级别和/或合格级别。该方法还包括在电子文档中呈现与一个或多个名词相关的术语作为电子文档中非自描述术语的候选者。

7. 发明申请

US20130238318A1 Method for Detecting Negative Opinions in Social Media, Computer Program Product and Computer 有权
标题翻译：检测社会媒体，计算机程序产品和计算机负面意见的方法
公开(公告)号：US20130238318A1
公开(公告)日：2013-09-12
申请号：US13792307
申请日：2013-03-11
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Miki Enoki , Hiroshi Kanayama , Tetsuya Nasukawa , Shiho Negishi
IPC分类号： G06F17/21
CPC分类号： G06F17/21 , G06F17/2715 , G06F17/277 , G06F17/2785 , G06F17/30728 , G06Q30/02 , G06Q30/0201
摘要： A method, device, and computer program product for detecting negative opinions in social media, computer program product, and computer. Negative opinions in social media can be precisely detected at an early stage. A method for processing, with a computer, a plurality of messages sent by a plurality of users over time includes the following steps: obtaining a plurality of messages, each including a specific proper noun; determining a politeness level of each of the plurality of messages, each including the specific proper noun; and calculating a proportion of messages having a politeness level lower than a certain threshold with respect to the plurality of messages, each including the specific proper noun.
摘要翻译：一种用于检测社交媒体，计算机程序产品和计算机中的负面意见的方法，设备和计算机程序产品。社会媒体的负面看法可以在早期阶段得到准确的检测。一种用计算机处理由多个用户随时间发送的多个消息的方法，包括以下步骤：获得多个消息，每个消息包括特定的专有名词; 确定所述多个消息中的每一个的礼貌级别，每个消息包括所述特定专有名词; 以及相对于所述多个消息计算具有低于某个阈值的礼貌度的消息的比例，每个消息包括所述特定专有名词。

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