12. A system, comprising: a processor; a memory; and an interface connecting the processor, the memory, and one or more logics, the logics including: a term and sentence logic to identify one or more terms in a document and to identify one or more sentences in the document, to produce a term score related to a uniqueness value for a term, and to produce a sentence score related to a potential topic relevancy value for a sentence, where the term score is computed according to: 
 S ( t )=( a−b ( sf t /N−c ) 2 )* f ( ng ) S(t) being the term score; a, b, and c being pre-determined, configurable constants; sf t being the number of sentences in which term t occurs; N being the total number of sentences; and f(ng) being a function that returns a penalizing value for terms having a less than a first number of uni-grams, a linearly increasing value for terms having between the first number of uni-grams and a second number of uni-grams, and a constant value for terms having more than the second number of uni-grams; a term-sentence matrix logic to produce a term-sentence matrix from the one or more terms and the one or more sentences, where an entry in the term-sentence matrix relates a term to a sentence based, at least in part, on a term score for the term and a sentence score for the sentence; a dominant topic logic to determine a dominant topic for the document based, at least in part, on iterative Single Value Decomposition (SVD) based hybrid LSI-HITS (Latent Semantic Index, Hyperlink Induced Topic Search) processing; and a summary item selection logic to select one or more summary items based, at least in part, on a simultaneous ranking of terms and sentences related to the dominant topic.
13. The system of claim 12 , the term score depending, at least in part, on a number of uni-grams in the term and a number of sentences in which the term appears, the sentence score depending, at least in part, on a length of a sentence measured in uni-grams and a position of a sentence in a paragraph.