A system and methods for creating data objects as symbolic or associative representations of terms or objects using machine-based methods are presented. A term can be a word or a phrase, which can also be the name of an object. For a given term, the methods analyze other terms associated with the term, and determine a set of terms or values to be attached to the term to form a dataset, either as a representation of the term, or as information about an object represented by the term, including various properties associated with the object. The methods include obtaining a group of text contents or non-natural language data contents, specifying a target term or symbol, and identifying contextual attributes of the target term or symbol. The contextual attributes include positional and distance attributes, as well as grammatical and semantic attributes.
Producing datasets for representing terms and objects based on automated learning from text contents