专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明授权

US08731995B2 Ranking products by mining comparison sentiment 有权
标题翻译：通过采矿比较情绪对产品进行排名
公开(公告)号：US08731995B2
公开(公告)日：2014-05-20
申请号：US12118764
申请日：2008-05-12
申请人： Jian-Tao Sun , Jian Hu , Christoph Ponath , Zheng Chen , Ling Bao , Qionghua Wang , Jianmin Wu
发明人： Jian-Tao Sun , Jian Hu , Christoph Ponath , Zheng Chen , Ling Bao , Qionghua Wang , Jianmin Wu
IPC分类号： G06Q30/00 , G06F17/27 , G06Q30/02
CPC分类号： G06Q30/0203 , G06F17/275 , G06F17/2775 , G06F17/2785 , G06Q10/10 , G06Q30/02 , G06Q30/0201 , G06Q30/0282 , G06Q99/00
摘要： A method of ranking a plurality of products includes obtaining a numerical user score for each of the plurality of products, calculating an opinion score for each of the plurality of products for which a written comparison sentiment applies, determining a final score by combining the numerical user rating and the opinion score for each of the plurality of products, and ranking the plurality of products based on the final score. The opinion score is derived from one or more written comparison sentiments containing a first product name and a second product name. In another aspect, a computer readable medium has instructions stored thereon which, when executed, cause a computer to perform a method of ranking a plurality of products including at least a first product and a second product.
摘要翻译：一种对多个产品进行排名的方法包括获得多个产品中的每个产品的数字用户分数，计算应用了书面比较情绪的多个产品中的每个产品的意见分数，通过组合数字用户来确定最终分数评价和多个产品中的每一个的意见得分，并且基于最终得分对多个产品进行排名。意见分数来自包含第一个产品名称和第二个产品名称的一个或多个书面比较情绪。在另一方面，计算机可读介质具有存储在其上的指令，当被执行时，其使得计算机执行对包括至少第一产品和第二产品的多个产品进行排序的方法。

2. 发明申请

US20080249764A1 Smart Sentiment Classifier for Product Reviews 审中-公开
标题翻译：智能情感分类器的产品评论
公开(公告)号：US20080249764A1
公开(公告)日：2008-10-09
申请号：US11950512
申请日：2007-12-05
申请人： Shen Huang , Ling Bao , Yunbo Cao , Zheng Chen , Chin-Yew Lin , Christoph R. Ponath , Jian-Tao Sun , Ming Zhou , Jian Wang
发明人： Shen Huang , Ling Bao , Yunbo Cao , Zheng Chen , Chin-Yew Lin , Christoph R. Ponath , Jian-Tao Sun , Ming Zhou , Jian Wang
IPC分类号： G06F17/27
CPC分类号： G06F17/2785
摘要： A sentiment classifier is described. In one implementation, a system applies both full text and complex feature analyses to sentences of a product review. Each analysis is weighted prior to linear combination into a final sentiment prediction. A full text model and a complex features model can be trained separately offline to support online full text analysis and complex features analysis. Complex features include opinion indicators, negation patterns, sentiment-specific sections of the product review, user ratings, sequence of text chunks, and sentence types and lengths. A Conditional Random Field (CRF) framework provides enhanced sentiment classification for each segment of a complex sentence to enhance sentiment prediction.
摘要翻译：描述情感分类器。在一个实现中，系统将全文和复杂特征分析应用于产品评论的句子。将每个分析在线性组合之前加权到最终情绪预测中。全文模型和复杂特征模型可以离线进行培训，以支持在线全文分析和复杂特征分析。复杂的功能包括意见指标，否定模式，产品评论中的情绪特定部分，用户评分，文本块的顺序以及句型和长度。条件随机场（CRF）框架为复杂句子的每个段提供增强的情感分类，以增强情绪预测。

3. 发明申请

US20080215571A1 PRODUCT REVIEW SEARCH 审中-公开
标题翻译：产品评论搜索
公开(公告)号：US20080215571A1
公开(公告)日：2008-09-04
申请号：US12024930
申请日：2008-02-01
申请人： Shen Huang , Jian-Tao Sun , Jianmin Wu , Min Wang , Zheng Chen
发明人： Shen Huang , Jian-Tao Sun , Jianmin Wu , Min Wang , Zheng Chen
IPC分类号： G06F17/30
CPC分类号： G06F16/345
摘要： This disclosure describes various exemplary methods, computer program products, and user interfaces that provide results for a product review search with opinion snippets and opinion visual graphs. This disclosure describes identifying user opinions by extracting passages that contain subjective opinions from web pages; ranking the user opinions by incorporating sentiment orientations and sentiment topics, where the sentiment orientations are positive or negative; and generating review snippets to indicate user sentiment orientations and to describe user opinions toward product features. This disclosure improves a user product search experience from the following aspects: understanding the product review from snippets instead of browsing the web page; obtaining more information by reading reviews in a shorter time period; and obtaining overall opinions of users of the web through visualized opinion summarization.
摘要翻译：本公开描述了各种示例性方法，计算机程序产品和用于提供具有意见摘要和意见视图的产品评论搜索结果的用户界面。本公开描述通过从网页提取包含主观意见的段落来识别用户意见; 通过纳入情绪方向和情绪主题，使情绪取向为正面或负面，对用户意见进行排名; 并产生评论片段以指示用户情绪取向并描述用户对产品功能的意见。本公开改进了以下方面的用户产品搜索体验：从片段中理解产品评论而不是浏览网页; 通过在较短的时间内阅读评论获得更多信息; 并通过可视化意见总结获取网络用户的整体意见。

4. 发明授权

US08682896B2 Smart attribute classification (SAC) for online reviews 有权
标题翻译：智能属性分类（SAC）用于在线评论
公开(公告)号：US08682896B2
公开(公告)日：2014-03-25
申请号：US13412871
申请日：2012-03-06
申请人： Jian Hu , Jian-Tao Sun , Zheng Chen
发明人： Jian Hu , Jian-Tao Sun , Zheng Chen
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06N99/005 , G06F17/30707
摘要： Techniques for identifying attributes in a sentence and determining a number of attributes to be associated with the sentence is described. An attribute identification (AI) framework comprises an offline training portion, an online prediction portion, and an AI algorithm module. The offline training portion utilizes the relationships between attributes within sentences input to the offline training portion to improve attribute identification of the AI algorithm module. The online prediction portion predicts, for each sentence input, the attributes of the sentence and the number of attributes the sentence is associated with by employing the AI algorithm module.
摘要翻译：描述用于识别句子中的属性并确定与句子相关联的属性的数量的技术。属性识别（AI）框架包括离线训练部分，在线预测部分和AI算法模块。离线训练部分利用输入到离线训练部分的句子内的属性之间的关系来改善AI算法模块的属性识别。在线预测部分通过使用AI算法模块来预测每个句子输入的句子的属性和句子相关联的属性的数量。

5. 发明授权

US08156119B2 Smart attribute classification (SAC) for online reviews 有权
标题翻译：智能属性分类（SAC）用于在线评论
公开(公告)号：US08156119B2
公开(公告)日：2012-04-10
申请号：US12355987
申请日：2009-01-19
申请人： Jian Hu , Jian-Tao Sun , Zheng Chen
发明人： Jian Hu , Jian-Tao Sun , Zheng Chen
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06N99/005 , G06F17/30707
摘要： Techniques for identifying attributes in a sentence and determining a number of attributes to be associated with the sentence are described. The techniques employ an offline training portion, an online prediction portion, and an attribute identification algorithm. The offline training portion utilizes relationships between attributes within sentences input to the offline training portion to improve attribute identification of the attribute identification algorithm. The online prediction portion predicts, for each sentence input, the attributes of the sentence, and the number of attributes the sentence is associated with by employing the attribute identification algorithm.
摘要翻译：描述用于识别句子中的属性并确定与句子相关联的属性的数量的技术。该技术采用离线训练部分，在线预测部分和属性识别算法。离线训练部分利用输入到离线训练部分的句子内的属性之间的关系来改进属性识别算法的属性识别。在线预测部分通过使用属性识别算法来预测每个句子输入的句子的属性以及该句子所关联的属性的数量。

6. 发明授权

US08825648B2 Mining multilingual topics 有权
标题翻译：挖掘多语言主题
公开(公告)号：US08825648B2
公开(公告)日：2014-09-02
申请号：US12760844
申请日：2010-04-15
申请人： Xiaochuan Ni , Jian-Tao Sun , Zheng Chen , Jian Hu
发明人： Xiaochuan Ni , Jian-Tao Sun , Zheng Chen , Jian Hu
IPC分类号： G06F17/30
CPC分类号： G06F17/30705 , G06F17/277 , G06F17/30386 , G06F17/30731
摘要： Techniques for utilizing data mining technology to extract universal topics with multilingual representations from a multilingual database, and to organize existing or new documents in different languages by analyzing their respective topic distributions.
摘要翻译：利用数据挖掘技术从多语言数据库中提取多语言表示的通用主题的技术，并通过分析各自的主题分布来组织不同语言的现有或新文档。

7. 发明申请

US20100185569A1 Smart Attribute Classification (SAC) for Online Reviews 有权
标题翻译：智能属性分类（SAC）在线评论
公开(公告)号：US20100185569A1
公开(公告)日：2010-07-22
申请号：US12355987
申请日：2009-01-19
申请人： Jian Hu , Jian-Tao Sun , Zheng Chen
发明人： Jian Hu , Jian-Tao Sun , Zheng Chen
IPC分类号： G06F15/18
CPC分类号： G06N99/005 , G06F17/30707
摘要： Techniques for identifying attributes in a sentence and determining a number of attributes to be associated with the sentence is described.
摘要翻译：描述用于识别句子中的属性并确定与句子相关联的属性的数量的技术。

8. 发明授权

US08768960B2 Enhancing keyword advertising using online encyclopedia semantics 有权
标题翻译：使用在线百科全书语义来增强关键字广告
公开(公告)号：US08768960B2
公开(公告)日：2014-07-01
申请号：US12356272
申请日：2009-01-20
申请人： Jian Hu , Jian-Tao Sun , Zheng Chen
发明人： Jian Hu , Jian-Tao Sun , Zheng Chen
IPC分类号： G06F17/30
CPC分类号： G06F17/2775 , G06F17/2785 , G06Q30/02
摘要： Disclosed are systems and methods for extracting semantic-based keywords through mining word semantics using an online encyclopedia's taxonomy. Described is the use a semantic bipartite graph that relates candidate keywords and topics.
摘要翻译：公开了通过使用在线百科全书分类法挖掘词义语义来提取基于语义的关键词的系统和方法。描述了使用关联候选关键字和主题的语义二分图。

9. 发明申请

US20120166370A1 SMART ATTRIBUTE CLASSIFICATION (SAC) FOR ONLINE REVIEWS 有权
标题翻译：智能属性分类（SAC）进行在线评估
公开(公告)号：US20120166370A1
公开(公告)日：2012-06-28
申请号：US13412871
申请日：2012-03-06
申请人： Jian Hu , Jian-Tao Sun , Zheng Chen
发明人： Jian Hu , Jian-Tao Sun , Zheng Chen
IPC分类号： G06F15/18
CPC分类号： G06N99/005 , G06F17/30707
摘要： Techniques for identifying attributes in a sentence and determining a number of attributes to be associated with the sentence is described.
摘要翻译：描述用于识别句子中的属性并确定与句子相关联的属性的数量的技术。

10. 发明申请

US20110258229A1 Mining Multilingual Topics 有权
标题翻译：采矿多语言主题
公开(公告)号：US20110258229A1
公开(公告)日：2011-10-20
申请号：US12760844
申请日：2010-04-15
申请人： Xiaochuan Ni , Jian-Tao Sun , Zheng Chen , Jian Hu
发明人： Xiaochuan Ni , Jian-Tao Sun , Zheng Chen , Jian Hu
IPC分类号： G06F17/30 , G06F17/20
CPC分类号： G06F17/30705 , G06F17/277 , G06F17/30386 , G06F17/30731
摘要： Techniques for utilizing data mining technology to extract universal topics with multilingual representations from a multilingual database, and to organize existing or new documents in different languages by analyzing their respective topic distributions.
摘要翻译：利用数据挖掘技术从多语言数据库中提取多语言表示的通用主题的技术，并通过分析各自的主题分布来组织不同语言的现有或新文档。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式