1. A method comprising: identifying, by a hardware processor, a first text provided by a user; identifying, by the hardware processor, a semantic dictionary comprising semantic-syntactic data, the semantic-syntactic data comprising at least one datum specific to the user; identifying, by the hardware processor, a first portion of the first text that matches the semantic-syntactic data; generating a node for a semantic-syntactic tree, wherein the node identifies a user ontological object of the semantic-syntactic data corresponding to the first portion of the first text; storing, by the hardware device, the semantic-syntactic tree comprising the generated node in a data storage device; and performing, by the hardware processor using the stored semantic-syntactic tree, natural language processing of at least one of the first text, the first portion of the first text, a second portion of the first text, or a second text provided by the user.
1. A method comprising: identifying, by a hardware processor, a first text provided by a user; identifying, by the hardware processor, a semantic dictionary comprising semantic-syntactic data, the semantic-syntactic data comprising at least one datum specific to the user; identifying, by the hardware processor, a first portion of the first text that matches the semantic-syntactic data; generating a node for a semantic-syntactic tree, wherein the node identifies a user ontological object of the semantic-syntactic data corresponding to the first portion of the first text; storing, by the hardware device, the semantic-syntactic tree comprising the generated node in a data storage device; and performing, by the hardware processor using the stored semantic-syntactic tree, natural language processing of at least one of the first text, the first portion of the first text, a second portion of the first text, or a second text provided by the user. 2. The method of claim 1 , wherein the semantic-syntactic data comprises a semantic class.