发明名称 |
MEASURING SEMANTIC INCONGRUITY WITHIN TEXT DATA |
摘要 |
A computing device may determine, based at least in part on one or more semantic exemplars associated with a digital object, a level of incongruity for the digital object, and output an indication of the level of incongruity for the digital object. For instance, a system may provide a web application that can support hedonic web surfing. By modeling Internet users as active information foragers instead of random surfers, a system may obtain quantitative measures of digital objects that users may find psychologically stimulating. The system may utilize a quantitative measure of the conceptual incongruity of digital objects that may predict how interesting users will find an object. |
申请公布号 |
US2015227626(A1) |
申请公布日期 |
2015.08.13 |
申请号 |
US201514618838 |
申请日期 |
2015.02.10 |
申请人 |
Regents of the University of Minnesota |
发明人 |
Mahapatra Amogh;Srivastava Nisheeth;Srivastava Jaideep |
分类号 |
G06F17/30 |
主分类号 |
G06F17/30 |
代理机构 |
|
代理人 |
|
主权项 |
1. A method comprising:
processing, by a computing device, textual data associated with a digital object to identify within the textual data one or more semantic exemplars for the digital object; generating, by the computing device, a data structure that represents a semantic space for the digital object, wherein the data structure is generated, by the computing device, to specify a respective measure of similarity between each pairwise combination of the semantic exemplars identified within the textual data; computing, by the computing device and based at least in part on the data structure that represents the semantic space for the digital object, a level of incongruity for the digital object, the level of incongruity representing a predicted estimation of interest of the digital object to a user; and executing a programmatic action based on the computed level of incongruity for the digital object. |
地址 |
Minneapolis MN US |