1. A computer-implemented method for automatically performing conceptual highlighting in electronic text, comprising: selecting a set of conceptual keywords related to a user's interests in an electronic text on a computer with at least one processor, wherein said conceptual keywords are words with the highest levels of semantic similarity with said interests, wherein said interests comprise a user-generated keyword vector K comprising user-generated keywords, wherein said user-generated keywords are generated from a user's activity, wherein a new keyword vector K new is created by adding new keywords based on said activity to an existing keyword vector K; creating a list of sentences and other information containing one or more of said conceptual keywords, wherein said set of conceptual keywords are described by a conceptual keyword vector K′, wherein said conceptual keywords are conceptually related to said user-generated keywords; and automatically highlighting sentences and other information in the electronic text containing said conceptual keywords; and wherein said keyword vector K and said conceptual keyword vector K′ are described by the following iterative equations after t iterations: 
 K (1)= K; 
 K (2)= a*K (1)+ b*WC*K (1); 
 K ( t )= K′=a*K ( t −1)+ b*WC*K ( t −1), wherein WC is a word co-occurrence matrix; wherein a and b are constants; and wherein a+b=1.
2. The computer-implemented method of claim 1 , wherein said creating comprises: for each sentence S in said text, creating a conceptual sentence vector S′; and comparing S′ and K′.