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1. 发明授权

US08799773B2 Aspect-based sentiment summarization 有权
标题翻译：基于方面的情绪总结
公开(公告)号：US08799773B2
公开(公告)日：2014-08-05
申请号：US12051798
申请日：2008-03-19
申请人： George Reis , Sasha Blair-Goldensohn , Ryan T. McDonald
发明人： George Reis , Sasha Blair-Goldensohn , Ryan T. McDonald
IPC分类号： G06F17/27 , G06N5/02
CPC分类号： G06N5/025 , G06F17/30719
摘要： Phrases in the reviews that express sentiment about a particular aspect are identified. Reviewable aspects of the entity are also identified. The reviewable aspects include static aspects that are specific to particular types of entities and dynamic aspects that are extracted from the reviews of a specific entity instance. The sentiment phrases are associated with the reviewable aspects to which the phrases pertain. The sentiment expressed by the phrases associated with each aspect is summarized, thereby producing a summary of sentiment associated with each reviewable aspect of the entity. The summarized sentiment and associated phrases can be stored and displayed to a user as a summary description of the entity.
摘要翻译：确定了对特定方面表达情感的评论中的短语。还确定了实体的可审查方面。可审查的方面包括特定类型的实体的静态方面和从特定实体实例的审查中提取的动态方面。情绪短语与短语所涉及的可审查方面相关联。总结了与每个方面相关的短语表达的情绪，从而产生与实体的每个可审查方面相关的情绪的总结。总结情绪和相关短语可以作为实体的简要描述存储和显示给用户。

2. 发明授权

US08417713B1 Sentiment detection as a ranking signal for reviewable entities 有权
标题翻译：情绪检测作为可审查实体的排名信号
公开(公告)号：US08417713B1
公开(公告)日：2013-04-09
申请号：US11951155
申请日：2007-12-05
申请人： Sasha Blair-Goldensohn , Kerry Hannan , Ryan McDonald , Tyler Neylon , Jeffrey C. Reynar
发明人： Sasha Blair-Goldensohn , Kerry Hannan , Ryan McDonald , Tyler Neylon , Jeffrey C. Reynar
IPC分类号： G06F17/30 , G06F7/00 , G06F15/16
CPC分类号： G06F17/30699 , G06F17/30867
摘要： A method, a system and a computer program product for ranking reviewable entities based on sentiment expressed about the entities. A plurality of review texts are identified wherein each review text references an entity. A plurality of sentiment scores associated with the plurality of review texts are generated, wherein each sentiment score for a review text indicates a sentiment directed to the entity referenced by the review text. A plurality of ranking scores for the plurality of entities are generated wherein each ranking score is based at least in part on one or more sentiment scores associated with one or more review texts referencing the entity. A plurality of search results associated with the plurality of entities are displayed based at least in part on the ranking scores.
摘要翻译：一种方法，系统和计算机程序产品，用于基于对实体表达的情绪对可审查实体进行排名。识别多个审查文本，其中每个审阅文本引用实体。产生与多个审阅文本相关联的多个情绪评分，其中审查文本的每个情绪评分表示指向由评论文本引用的实体的情绪。生成多个实体的多个排名分数，其中每个排名得分至少部分地基于与引用该实体的一个或多个审阅文本相关联的一个或多个情绪评分。至少部分地基于评分分数显示与多个实体相关联的多个搜索结果。

3. 发明申请

US20120131021A1 Phrase Based Snippet Generation 有权
标题翻译：基于短语的代码片段生成
公开(公告)号：US20120131021A1
公开(公告)日：2012-05-24
申请号：US13167695
申请日：2011-06-24
申请人： Sasha Blair-Goldensohn , Kerry Hannan , Ryan McDonald , Tyler Neylon , Jeffrey C. Reynar
发明人： Sasha Blair-Goldensohn , Kerry Hannan , Ryan McDonald , Tyler Neylon , Jeffrey C. Reynar
IPC分类号： G06F17/30
CPC分类号： G06F17/30719 , Y10S707/99933 , Y10S707/99935
摘要： Disclosed herein is a method, a system and a computer product for generating a snippet for an entity, wherein each snippet comprises a plurality of sentiments about the entity. One or more textual reviews associated with the entity is selected. A plurality of sentiment phrases are identified based on the one or more textual reviews, wherein each sentiment phrase comprises a sentiment about the entity. One or more sentiment phrases from the plurality of sentiment phrases are selected to generate a snippet.
摘要翻译：本文公开了一种用于为实体生成代码片段的方法，系统和计算机产品，其中每个片段包括关于该实体的多个情绪。选择与该实体相关联的一个或多个文本评论。基于一个或多个文本评论来识别多个情绪短语，其中每个情绪短语包括关于该实体的情绪。选择来自多个情绪短语的一个或多个情绪短语以生成片段。

4. 发明申请

US20090193328A1 Aspect-Based Sentiment Summarization 有权
标题翻译：基于方面的情绪总结
公开(公告)号：US20090193328A1
公开(公告)日：2009-07-30
申请号：US12051798
申请日：2008-03-19
申请人： George Reis , Sasha Blair-Goldensohn , Ryan T. McDonald
发明人： George Reis , Sasha Blair-Goldensohn , Ryan T. McDonald
IPC分类号： G06F17/27
CPC分类号： G06N5/025 , G06F17/30719
摘要： Reviews express sentiment about one or more entities. Phrases in the reviews that express sentiment about a particular aspect are identified. Reviewable aspects of the entity are also identified. The reviewable aspects include static aspects that are specific to particular types of entities and dynamic aspects that are extracted from the reviews of a specific entity instance. The sentiment phrases are associated with the reviewable aspects to which the phrases pertain. The sentiment expressed by the phrases associated with each aspect is summarized, thereby producing a summary of sentiment associated with each reviewable aspect of the entity. The summarized sentiment and associated phrases can be stored and displayed to a user as a summary description of the entity.
摘要翻译：评论一个或多个实体的表达情绪。确定了对特定方面表达情感的评论中的短语。还确定了实体的可审查方面。可审查的方面包括特定类型的实体的静态方面和从特定实体实例的审查中提取的动态方面。情绪短语与短语所涉及的可审查方面相关联。总结了与每个方面相关的短语表达的情绪，从而产生与实体的每个可审查方面相关的情绪的总结。总结情绪和相关短语可以作为实体的简要描述存储和显示给用户。

5. 发明申请

US20090193011A1 Phrase Based Snippet Generation 有权
标题翻译：基于短语的代码片段生成
公开(公告)号：US20090193011A1
公开(公告)日：2009-07-30
申请号：US12020483
申请日：2008-01-25
申请人： Sasha Blair-Goldensohn , Kerry Hannan , Ryan McDonald , Tyler Neylon , Jeffrey C. Reynar
发明人： Sasha Blair-Goldensohn , Kerry Hannan , Ryan McDonald , Tyler Neylon , Jeffrey C. Reynar
IPC分类号： G06F7/06 , G06F17/30
CPC分类号： G06F17/30719 , Y10S707/99933 , Y10S707/99935
摘要： Disclosed herein is a method, a system and a computer product for generating a snippet for an entity, wherein each snippet comprises a plurality of sentiments about the entity. One or more textual reviews associated with the entity is selected. A plurality of sentiment phrases are identified based on the one or more textual reviews, wherein each sentiment phrase comprises a sentiment about the entity. One or more sentiment phrases from the plurality of sentiment phrases are selected to generate a snippet.
摘要翻译：本文公开了一种用于为实体生成代码片段的方法，系统和计算机产品，其中每个片段包括关于该实体的多个情绪。选择与该实体相关联的一个或多个文本评论。基于一个或多个文本评论来识别多个情绪短语，其中每个情绪短语包括关于该实体的情绪。选择来自多个情绪短语的一个或多个情绪短语以生成片段。

6. 发明授权

US08402036B2 Phrase based snippet generation 有权
标题翻译：基于短语的片段生成
公开(公告)号：US08402036B2
公开(公告)日：2013-03-19
申请号：US13167695
申请日：2011-06-24
申请人： Sasha Blair-Goldensohn , Kerry Hannan , Ryan T. McDonald , Tyler Neylon , Jeffrey C. Reynar
发明人： Sasha Blair-Goldensohn , Kerry Hannan , Ryan T. McDonald , Tyler Neylon , Jeffrey C. Reynar
IPC分类号： G06F17/30
CPC分类号： G06F17/30719 , Y10S707/99933 , Y10S707/99935
摘要： Disclosed herein is a method, a system and a computer product for generating a snippet for an entity, wherein each snippet comprises a plurality of sentiments about the entity. One or more textual reviews associated with the entity is selected. A plurality of sentiment phrases are identified based on the one or more textual reviews, wherein each sentiment phrase comprises a sentiment about the entity. One or more sentiment phrases from the plurality of sentiment phrases are selected to generate a snippet.
摘要翻译：本文公开了一种用于为实体生成代码片段的方法，系统和计算机产品，其中每个片段包括关于该实体的多个情绪。选择与该实体相关联的一个或多个文本评论。基于一个或多个文本评论来识别多个情绪短语，其中每个情绪短语包括关于该实体的情绪。选择来自多个情绪短语的一个或多个情绪短语以生成片段。

7. 发明授权

US08010539B2 Phrase based snippet generation 有权
标题翻译：基于短语的片段代码
公开(公告)号：US08010539B2
公开(公告)日：2011-08-30
申请号：US12020483
申请日：2008-01-25
申请人： Sasha Blair-Goldensohn , Kerry Hannan , Ryan McDonald , Tyler Neylon , Jeffrey C. Reynar
发明人： Sasha Blair-Goldensohn , Kerry Hannan , Ryan McDonald , Tyler Neylon , Jeffrey C. Reynar
IPC分类号： G06F17/30
CPC分类号： G06F17/30719 , Y10S707/99933 , Y10S707/99935
摘要： Disclosed herein is a method, a system and a computer product for generating a snippet for an entity, wherein each snippet comprises a plurality of sentiments about the entity. One or more textual reviews associated with the entity is selected. A plurality of sentiment phrases are identified based on the one or more textual reviews, wherein each sentiment phrase comprises a sentiment about the entity. One or more sentiment phrases from the plurality of sentiment phrases are selected to generate a snippet.
摘要翻译：本文公开了一种用于为实体生成代码片段的方法，系统和计算机产品，其中每个片段包括关于该实体的多个情绪。选择与该实体相关联的一个或多个文本评论。基于一个或多个文本评论来识别多个情绪短语，其中每个情绪短语包括关于该实体的情绪。选择来自多个情绪短语的一个或多个情绪短语以生成片段。

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