公开(公告)号：US09767166B2

公开(公告)日：2017-09-19

申请号：US15250050

申请日：2016-08-29

申请人： Taykey Ltd.

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 generating alerts based on term taxonomies. The method includes analyzing textual content to detect a plurality of phrases in the textual content; identifying each of the detected phrases as any of: a sentiment phrase, and a non-sentiment phrase, wherein each sentiment phrase includes at least one word describing a sentiment; associating each identified non-sentiment phrase with at least one of the identified sentiment phrases to create at least one term taxonomy; analyzing the at least one term taxonomy to determine whether each identified non-sentiment phrase is associated with any of: a highly positive sentiment, and a highly negative sentiment; and generating an alert, when it is determined that one of the non-sentiment phrases is associated with any of: a highly positive sentiment, and a highly negative sentiment.

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：US09454615B2

公开(公告)日：2016-09-27

申请号：US14849018

申请日：2015-09-09

申请人： Taykey Ltd.

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 user behaviors based on term taxonomies are provided. The system comprises generating phrases respective of user generated content, wherein each phrase is a sentiment phrase or a non-sentiment phrase, each sentiment phrase including at least one word describing a sentiment; identifying at least one connection between at least two of the generated phrases, wherein each connection is a direct connection or a hidden connection; generating at least one term taxonomy based on the identified at least one connection, wherein each term taxonomy is an association between a non-sentiment phrase and at least one of a plurality of sentiment phrases; periodically analyzing the at least one term taxonomy to determine at least one trend of each non-sentiment phrase respective of the associated plurality of sentiment phrases; and generating a prediction of future behavior of the at least one trend with respect to the at least one term taxonomy.

摘要翻译： 提供了一种基于术语分类法预测用户行为的方法和系统。 该系统包括生成用户生成的内容相应的短语，其中每个短语是情绪短语或非情绪短语，每个情绪短语包括至少一个描述情绪的单词; 识别生成的短语中的至少两个之间的至少一个连接，其中每个连接是直接连接或隐藏连接; 基于所识别的至少一个连接生成至少一个术语分类法，其中每个术语分类法是非情绪短语与多个情绪短语中的至少一个之间的关联; 定期分析所述至少一个术语分类法以确定相关联的多个情感短语中各自的每个非情绪短语的至少一个趋势; 以及产生关于所述至少一个术语分类法的所述至少一个趋势的未来行为的预测。

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。

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：US09946775B2

公开(公告)日：2018-04-17

申请号：US13709396

申请日：2012-12-10

申请人： Innovid Inc.

发明人： Omer Dror ,  Niv Mizrahi

IPC分类号： G06F17/30

CPC分类号： G06F17/30563 ,  G06F17/30734

摘要： A system and method for detecting implicit information related to a user are disclosed. The system comprises a network interface for accessing one or more data sources; a plurality of agents for collecting textual content from the one or more data sources; a processing unit for extracting explicit demographic information related to the user and generating implicit demographic information related to the user respective of the explicit demographic information; and a data warehouse connected to the processing unit for storing the generated implicit demographic information.

公开(公告)号：US20160371280A1

公开(公告)日：2016-12-22

申请号：US15250050

申请日：2016-08-29

申请人： Taykey Ltd.

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 generating alerts based on term taxonomies. The method includes analyzing textual content to detect a plurality of phrases in the textual content; identifying each of the detected phrases as any of: a sentiment phrase, and a non-sentiment phrase, wherein each sentiment phrase includes at least one word describing a sentiment; associating each identified non-sentiment phrase with at least one of the identified sentiment phrases to create at least one term taxonomy; analyzing the at least one term taxonomy to determine whether each identified non-sentiment phrase is associated with any of: a highly positive sentiment, and a highly negative sentiment; and generating an alert, when it is determined that one of the non-sentiment phrases is associated with any of: a highly positive sentiment, and a highly negative sentiment.

摘要翻译： 一种基于术语分类法生成警报的方法和系统。 该方法包括分析文本内容以检测文本内容中的多个短语; 将每个检测到的短语识别为以下任何一种：情绪短语和非情绪短语，其中每个情绪短语包括描述情绪的至少一个词; 将每个所识别的非情绪短语与所识别的情绪短语中的至少一个相关联以创建至少一个术语分类; 分析至少一个术语分类法，以确定每个识别的非情绪短语是否与以下任何一个相关联：高度积极的情绪和高度负面的情绪; 并且当确定一个非情绪短语与以下任何一个相关联时产生警报：高度积极的情绪和高度负面的情绪。

公开(公告)号：US20160026617A1

公开(公告)日：2016-01-28

申请号：US14872601

申请日：2015-10-01

申请人： Taykey Ltd.

发明人： Amit Avner ,  Omer Dror ,  Itay BIRNBOIM

IPC分类号： G06F17/27

CPC分类号： G06F17/2705 ,  G06F17/30734

摘要： A system and method for identifying hidden connections among non-sentiment phrases are presented. The method includes identifying all connections among a plurality of non-sentiment phrases based on at least one proximity rule; determining direct connections among the identified connections, wherein each direct connection meets a predetermined correlation; filtering out the determined direct connections from the identified connections to yield hidden connections among the identified connections; analyzing the hidden connections to identify a common phrase, wherein the common phrase is associated with at least two hidden connections; generating a new hidden connection among the plurality of non-sentiment phrases based on the common phrase; and associating a sentiment phrase with at least two non-sentiment phrases having a hidden connection, wherein the association is a term taxonomy.

摘要翻译： 提出了一种用于识别非情绪短语之间的隐藏连接的系统和方法。 所述方法包括基于至少一个接近规则识别多个非情绪短语中的所有连接; 确定所识别的连接之间的直接连接，其中每个直接连接满足预定的相关性; 从所识别的连接过滤所确定的直接连接，以产生所识别的连接之间的隐藏连接; 分析所述隐藏连接以识别公共短语，其中所述公共短语与至少两个隐藏连接相关联; 基于公共短语在多个非情绪短语之间生成新的隐藏连接; 以及将情绪短语与至少两个具有隐藏连接的非情感短语相关联，其中所述关联是术语分类。

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。