发明名称 SYSTEM AND METHOD FOR PREDICTING USER BEHAVIORS BASED ON PHRASE CONNECTIONS
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.
申请公布号 US2016371280(A1) 申请公布日期 2016.12.22
申请号 US201615250050 申请日期 2016.08.29
申请人 Taykey Ltd. 发明人 AVNER Amit;DROR Omer
分类号 G06F17/30 主分类号 G06F17/30
代理机构 代理人
主权项 1. A method for generating alerts based on term taxonomies, comprising: 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.
地址 Herzliya Pituach IL