公开(公告)号：US20110302006A1

公开(公告)日：2011-12-08

申请号：US13214588

申请日：2011-08-22

申请人： Amit Avner ,  Omer Dror ,  Itay Birnboim

发明人： Amit Avner ,  Omer Dror ,  Itay Birnboim

IPC分类号： G06Q30/00 ,  G06F17/30

CPC分类号： G06Q30/0201 ,  G06F17/2785 ,  G06Q30/0241 ,  G06Q50/01

摘要： A method for generating a trend report for a non-sentiment phrase. The method comprises generating a plurality of term taxonomies between non-sentiment phrases and sentiment phrases; storing the plurality of term taxonomies in a database; performing periodically at least a statistical analysis respective of the plurality of term taxonomies in the database; receiving a request for a report with respect of at least a non-sentiment phrase in the database; generating a trend report based at least on the at least statistical analysis; and providing the report to the requestor of the report.

摘要翻译： 一种用于生成非情绪短语趋势报告的方法。 该方法包括在非情绪短语和情绪短语之间产生多个术语分类; 将多个术语分类法存储在数据库中; 至少对数据库中的多个术语分类法进行至少统计分析; 在数据库中接收关于至少一个非情绪短语的报告请求; 至少基于至少统计分析产生趋势报告; 并向报告的要求人提供报告。

公开(公告)号：US09613139B2

公开(公告)日：2017-04-04

申请号：US13237538

申请日：2011-09-20

申请人： Amit Avner ,  Omer Dror ,  Itay Birnboim

发明人： Amit Avner ,  Omer Dror ,  Itay Birnboim

IPC分类号： G06F17/30 ,  G06F17/27 ,  G06Q30/02

CPC分类号： G06F17/30737 ,  G06F17/2785 ,  G06Q30/02

摘要： A method for real-time monitoring of changes in a sentiment respective of an input non-sentiment phrase. The method comprises receiving the input non-sentiment phrase and at least one tendency parameter respective of the input non-sentiment phrase; identifying in a data storage at least one of a term taxonomy that includes the input non-sentiment phrase, wherein the data storage contains a plurality of phrases including sentiment phrases, non-sentiment phrases, and a plurality of term taxonomies; computing a sentiment trend for the at least one term taxonomy; monitoring the sentiment trend to detect real-time changes in a direction of the sentiment trend with respect to the at least one tendency parameter; and generating at least a notification when a change in the direction of the sentiment trend with respect to the input tendency parameter has occurred.

公开(公告)号：US20120011158A1

公开(公告)日：2012-01-12

申请号：US13237538

申请日：2011-09-20

申请人： Amit Avner ,  Omer Dror ,  Itay Birnboim

发明人： Amit Avner ,  Omer Dror ,  Itay Birnboim

IPC分类号： G06F17/30

CPC分类号： G06F17/30737 ,  G06F17/2785 ,  G06Q30/02

摘要： A method for real-time monitoring of changes in a sentiment respective of an input non-sentiment phrase. The method comprises receiving the input non-sentiment phrase and at least one tendency parameter respective of the input non-sentiment phrase; identifying in a data storage at least one of a term taxonomy that includes the input non-sentiment phrase, wherein the data storage contains a plurality of phrases including sentiment phrases, non-sentiment phrases, and a plurality of term taxonomies; computing a sentiment trend for the at least one term taxonomy; monitoring the sentiment trend to detect real-time changes in a direction of the sentiment trend with respect to the at least one tendency parameter; and generating at least a notification when a change in the direction of the sentiment trend with respect to the input tendency parameter has occurred.

摘要翻译： 一种用于实时监视输入非情绪短语的情绪变化的方法。 该方法包括接收输入的非情感短语和输入的非情绪短语的至少一个趋势参数; 在数据存储中识别包括所述输入非情绪短语的术语分类法中的至少一个，其中所述数据存储包含多个短语，包括情绪短语，非情绪短语和多个术语分类; 计算至少一个术语分类法的情绪趋势; 监测情绪趋势以检测相对于至少一个趋势参数的情绪趋势方向上的实时变化; 并且当相对于输入趋势参数发生了情绪倾向的方向的变化时，至少产生通知。

公开(公告)号：US09183292B2

公开(公告)日：2015-11-10

申请号：US13279673

申请日：2011-10-24

申请人： Amit Avner ,  Omer Dror ,  Itay Birnboim

发明人： Amit Avner ,  Omer Dror ,  Itay Birnboim

IPC分类号： G06F17/30

CPC分类号： G06F17/2705 ,  G06F17/30734

摘要： A system for identifying hidden connections between non-sentiment phrases. The system comprises a network interface enabling an access to one or more data sources; a data warehouse storage for at least storing a plurality of phrases including sentiment phrases and non-sentiment phrases; an analysis unit for identifying hidden connections between non-sentiment phrases based on at least one proximity rule and for generating at least an association between at least two non-sentiment phrases having a hidden connection and a sentiment phrase, wherein an association between the at least two non-sentiment phrases having the hidden connection and the corresponding sentiment phrase is a term taxonomy.

摘要翻译： 用于识别非情绪短语之间的隐藏连接的系统。 该系统包括能够访问一个或多个数据源的网络接口; 用于至少存储包括情绪短语和非情绪短语的多个短语的数据仓库存储; 分析单元，用于基于至少一个接近规则来识别非情感短语之间的隐藏连接，并且用于至少在至少两个具有隐藏连接和情感短语的非情感短语之间生成关联，其中至少 具有隐藏连接和相应情绪短语的两个非情绪短语是术语分类法。

公开(公告)号：US08965835B2

公开(公告)日：2015-02-24

申请号：US13214588

申请日：2011-08-22

申请人： Amit Avner ,  Omer Dror ,  Itay Birnboim

发明人： Amit Avner ,  Omer Dror ,  Itay Birnboim

IPC分类号： G06F17/30 ,  G06Q30/00 ,  G06Q30/02 ,  G06F17/27 ,  G06Q50/00

CPC分类号： G06Q30/0201 ,  G06F17/2785 ,  G06Q30/0241 ,  G06Q50/01

摘要： A method for generating a trend report for a non-sentiment phrase. The method comprises generating a plurality of term taxonomies between non-sentiment phrases and sentiment phrases; storing the plurality of term taxonomies in a database; performing periodically at least a statistical analysis respective of the plurality of term taxonomies in the database; receiving a request for a report with respect of at least a non-sentiment phrase in the database; generating a trend report based at least on the at least statistical analysis; and providing the report to the requestor of the report.

摘要翻译： 一种用于生成非情绪短语趋势报告的方法。 该方法包括在非情绪短语和情绪短语之间产生多个术语分类; 将多个术语分类法存储在数据库中; 至少对数据库中的多个术语分类法进行至少统计分析; 在数据库中接收关于至少一个非情绪短语的报告请求; 至少基于至少统计分析产生趋势报告; 并向报告的要求人提供报告。

公开(公告)号：US08930377B2

公开(公告)日：2015-01-06

申请号：US13050515

申请日：2011-03-17

申请人： Amit Avner ,  Omer Dror ,  Itay Birnboim

发明人： Amit Avner ,  Omer Dror ,  Itay Birnboim

IPC分类号： G06F17/30

CPC分类号： G06F17/30734

摘要： A system for creation of term taxonomies by mining web based user generated content according. The system includes a network interface enabling access to one or more data sources; a mining unit for collecting textual content from the one or more sources and generating phrases, the generated phrases include sentiment phrases and non-sentiment phrases; an analysis unit for generating at least associations between a non-sentiment phrase and a sentiment phrase based on the generated phrases, wherein an association between a non-sentiment phrase and at least one corresponding sentiment phrase is a taxonomy; and storing the taxonomies in a data warehouse storage connected to the network wherein responsive to a query the system provides a sentiment to a non-sentiment phrase provided in the query.

摘要翻译： 通过基于网页的用户生成的内容来创建术语分类法的系统。 该系统包括能够访问一个或多个数据源的网络接口; 用于从所述一个或多个源收集文本内容并生成短语的采矿单元，所生成的短语包括情绪短语和非情绪短语; 分析单元，用于基于所生成的短语至少产生非情绪短语和情绪短语之间的关联，其中非情绪短语和至少一个相应的情绪短语之间的关联是分类; 以及将分类法存储在连接到网络的数据仓库存储器中，其中响应于查询，系统向查询中提供的非情绪短语提供情绪。

公开(公告)号：US20110238674A1

公开(公告)日：2011-09-29

申请号：US13050515

申请日：2011-03-17

申请人： Amit Avner ,  Omer Dror ,  Itay Birnboim

发明人： Amit Avner ,  Omer Dror ,  Itay Birnboim

IPC分类号： G06F17/30

CPC分类号： G06F17/30734

摘要： A system for creation of term taxonomies by mining web based user generated content according. The system includes a network interface enabling access to one or more data sources; a mining unit for collecting textual content from the one or more sources and generating phrases, the generated phrases include sentiment phrases and non-sentiment phrases; an analysis unit for generating at least associations between a non-sentiment phrase and a sentiment phrase based on the generated phrases, wherein an association between a non-sentiment phrase and at least one corresponding sentiment phrase is a taxonomy; and storing the taxonomies in a data warehouse storage connected to the network wherein responsive to a query the system provides a sentiment to a non-sentiment phrase provided in the query.

摘要翻译： 通过基于网页的用户生成的内容来创建术语分类法的系统。 该系统包括能够访问一个或多个数据源的网络接口; 用于从所述一个或多个源收集文本内容并生成短语的采矿单元，所生成的短语包括情绪短语和非情绪短语; 分析单元，用于基于所生成的短语至少产生非情绪短语和情绪短语之间的关联，其中非情绪短语和至少一个相应的情绪短语之间的关联是分类; 以及将分类法存储在连接到网络的数据仓库存储器中，其中响应于查询，系统向查询中提供的非情绪短语提供情绪。

公开(公告)号：US20110313842A1

公开(公告)日：2011-12-22

申请号：US13225055

申请日：2011-09-02

申请人： Amit Avner ,  Omer Dror

发明人： Amit Avner ,  Omer Dror

IPC分类号： G06Q30/00

CPC分类号： G06Q30/0241 ,  G06Q30/0242 ,  G06Q30/0244 ,  G06Q30/0251 ,  G06Q30/0254 ,  G06Q30/0275

摘要： A method for bidding for an advertisement placement of an on-line advertisement. The method comprises identifying at least a trend for at least a first term appearing in at least one data source; extracting at least a second term from at least one on-line advertisement; performing a correlation analysis, responsive of a desired trend of the at least first term, between the at least first term and the at least second term; and placing a bid for placement of the at least one on-line advertisement for any one of the at least first term and the at least second term that demonstrates a predefined correlation.

摘要翻译： 一种招标广告刊登在线广告的方法。 该方法包括至少识别出现在至少一个数据源中的至少第一术语的趋势; 从至少一个在线广告提取至少第二项; 响应所述至少第一项的期望趋势，在所述至少第一项和所述至少第二项之间执行相关分析; 以及为演示预定义的相关性的至少第一项和所述至少第二项中的任何一个而放置所述至少一个在线广告的出价。

公开(公告)号：US08782046B2

公开(公告)日：2014-07-15

申请号：US13482473

申请日：2012-05-29

申请人： Amit Avner ,  Omer Dror

发明人： Amit Avner ,  Omer Dror

IPC分类号： G06F17/30

CPC分类号： G06F17/3053 ,  G06F17/30345 ,  G06F17/30386 ,  G06F17/30572 ,  G06F17/30598 ,  G06F17/30734 ,  G06F17/30867

摘要： A method and system for predicting future trends of terms taxonomies of users generated content. The method comprises crawling one or more sources of users generated content to collect phrases mentioned by users of the one or more data sources; periodically analyzing one or more term taxonomies to determine at least a trend of at least a non-sentiment phrase with respect of a plurality of sentiment phrases, wherein a term taxonomy is an association between a non-sentiment phrase and a sentiment phrase, the non-sentiment and sentiment phrases are included in the collected phrases; and generating a prediction of future behavior of the at least trend with respect of the one or more term taxonomies.

摘要翻译： 一种用于预测用户生成内容的术语分类的未来趋势的方法和系统。 该方法包括：爬行一个或多个用户生成的内容源，以收集一个或多个数据源的用户提及的短语; 定期分析一个或多个术语分类法以至少确定关于多个情绪短语的至少非情绪短语的趋势，其中术语分类法是非情绪短语和情绪短语之间的关联， 收集的短语中包含意见和情绪短语; 并且产生关于一个或多个术语分类法的至少趋势的未来行为的预测。

公开(公告)号：US20120239694A1

公开(公告)日：2012-09-20

申请号：US13482473

申请日：2012-05-29

申请人： Amit Avner ,  Omer Dror

发明人： Amit Avner ,  Omer Dror

IPC分类号： G06F17/30

CPC分类号： G06F17/3053 ,  G06F17/30345 ,  G06F17/30386 ,  G06F17/30572 ,  G06F17/30598 ,  G06F17/30734 ,  G06F17/30867

摘要： A method and system for predicting future trends of terms taxonomies of users generated content. The method comprises crawling one or more sources of users generated content to collect phrases mentioned by users of the one or more data sources; periodically analyzing one or more term taxonomies to determine at least a trend of at least a non-sentiment phrase with respect of a plurality of sentiment phrases, wherein a term taxonomy is an association between a non-sentiment phrase and a sentiment phrase, the non-sentiment and sentiment phrases are included in the collected phrases; and generating a prediction of future behavior of the at least trend with respect of the one or more term taxonomies.

摘要翻译： 一种用于预测用户生成内容的术语分类的未来趋势的方法和系统。 该方法包括：爬行一个或多个用户生成的内容源，以收集一个或多个数据源的用户提及的短语; 定期分析一个或多个术语分类法以至少确定关于多个情绪短语的至少非情绪短语的趋势，其中术语分类法是非情绪短语和情绪短语之间的关联， 收集的短语中包含意见和情绪短语; 并且产生关于一个或多个术语分类法的至少趋势的未来行为的预测。