11. The system of claim 10 , wherein the length of the lexical vector of the incoming email text is compared to lengths of the lexical vectors of known spam texts stored in the lexical vector database in the length calculation module.
10. A system for identifying spam in an email text, the system comprising a processor, a memory, and computer code loaded into the memory for implementing: (a) a lexical vector module coupled to a database containing numerical values corresponding to unique words of the email text, the lexical vector module being configured to generate a lexical vector of the email text as a plurality of the unique numerical values corresponding to a unique word and a number of occurrences of each corresponding unique word in the email text; (b) a histogram module for generating histograms of lexical vectors for each unique numerical identifier of each corresponding unique word in the email text; (c) a lexical vector database accessible by the histogram module; (d) a length calculation module coupled to the lexical vector module and connected to the lexical vector database; and (e) a comparison nodule coupled to the histogram module, (f) wherein the histogram of the lexical vector of the incoming email text is generated in the histogram module and compared only a single time to histograms of lexical vectors of known spam texts stored in the lexical vector database, and (g) wherein the lexical vector is generated after the email text is normalized morphologically and after meaningless and noise words are filtered out from the email text, filtering multi-symbol meaningless human-language words and noise human-language words.