1. A method for intention detection in information, the method comprising: parsing, using a processor and a memory, a new information into a constituent set of complete grammatical constructs, the new information being in a language and relating to a subject matter domain; identifying, in a subset of the complete grammatical constructs, a set of linguistic styles of the language according to a subset of a set of word-style associations related to the language and independent of the subject matter domain; assigning a first weight to a first linguistic style and a second weight to a second linguistic style, the set of linguistic styles including the first linguistic style and the second linguistic style; constructing, using second set of linguistic styles of the language, and using a taxonomy of intentions present in a training information relating to the subject matter domain, a set of style-intention rules, the set of style-intention rules including the style-intention rule, the style-intention rule relating a selected intention from the taxonomy of intentions with a selected linguistic style in the set of linguistic styles to indicate that the selected intention is present where the selected linguistic style appears in any information related to the subject matter domain; mapping a first intention information to the first style using a first style-intention rule, and a second intention information to the second style using a second style-intention rule; and tagging a complete grammatical construct in the subset with the first intention information responsive to a weight associated with the first intention information exceeding an intention selection threshold.
1. A method for intention detection in information, the method comprising: parsing, using a processor and a memory, a new information into a constituent set of complete grammatical constructs, the new information being in a language and relating to a subject matter domain; identifying, in a subset of the complete grammatical constructs, a set of linguistic styles of the language according to a subset of a set of word-style associations related to the language and independent of the subject matter domain; assigning a first weight to a first linguistic style and a second weight to a second linguistic style, the set of linguistic styles including the first linguistic style and the second linguistic style; constructing, using second set of linguistic styles of the language, and using a taxonomy of intentions present in a training information relating to the subject matter domain, a set of style-intention rules, the set of style-intention rules including the style-intention rule, the style-intention rule relating a selected intention from the taxonomy of intentions with a selected linguistic style in the set of linguistic styles to indicate that the selected intention is present where the selected linguistic style appears in any information related to the subject matter domain; mapping a first intention information to the first style using a first style-intention rule, and a second intention information to the second style using a second style-intention rule; and tagging a complete grammatical construct in the subset with the first intention information responsive to a weight associated with the first intention information exceeding an intention selection threshold. 4. The method of claim 1 , further comprising: assigning a third weight to a third linguistic style, the set of linguistic styles including the third linguistic style; and omitting the third linguistic style from the mapping responsive to the third weight being below a style selection threshold.