发明名称 Semantic-free text analysis for identifying traits
摘要 A method, system, and/or computer program product uses speech traits of an entity to predict a future state of the entity. Units of speech are collected from a stream of speech that is generated by a first entity. Tokens from the stream of speech are identified, where each token identifies a particular unit of speech from the stream of speech, and where identification of the tokens is semantic-free. Nodes in a first speech graph are populated with the tokens, and a first shape of the first speech graph is identified. The first shape is matched to a second shape, where the second shape is of a second speech graph from a second entity in a known category. The first entity is assigned to the known category, and a future state of the first entity is predicted based on the first entity being assigned to the known category.
申请公布号 US9508360(B2) 申请公布日期 2016.11.29
申请号 US201414288751 申请日期 2014.05.28
申请人 International Business Machines Corporation 发明人 Allam Sushmita L.;Cecchi Guillermo A.;Gundugola Srinivas;Kozloski James R.;Pickover Clifford A.;Rish Irina
分类号 G10L15/00;G10L25/48;G10L15/18 主分类号 G10L15/00
代理机构 Law Office of Jim Boice 代理人 Law Office of Jim Boice
主权项 1. A method of predicting a future state of an entity, the method comprising: collecting, by one or more processors, units of speech from a stream of speech, wherein the stream of speech is generated by a first entity; identifying, by one or more processors, tokens from the stream of speech, wherein each token identifies a particular unit of speech from the stream of speech, and wherein identification of the tokens is semantic-free such that the tokens are identified independently of a semantic meaning of a respective unit of speech; populating, by one or more processors, nodes in a first speech graph with the tokens; identifying, by one or more processors, a first shape of the first speech graph; matching, by one or more processors, the first shape to a second shape, wherein the second shape is of a second speech graph from a second entity in a known category; assigning, by one or more processors, the first entity to the known category in response to the first shape matching the second shape; and predicting, by one or more processors, a future state of the first entity based on the first entity being assigned to the known category.
地址 Armonk NY US