building profiles by extracting a feature vector from text

Hi everyone, My project revolves around extracting a feature vector from text and later doing some operations on this vector I have to extract the following data: 1). Character occurrence Given a set of characters C and an text M, we define the character occurrence of C in M as the number of times that any of the characters in C occur in M, divided by the length of M. 2). functional word occurrence Given a word Wr and a set of words W in a text, we calculate the word occurrence X in W as the number of times Wr occurs in the text, divided by the size of W. 3). special words occurrence Given a regular expression Rsw representing the special word, a text M, and a set Wm containing the words in M, we calculate the special word occurrence X of Rsw as the number of matches in M for Rsw, divided by the size of Wm 4). Generic style characteristics 5) Style metrics there are additional features that we require that are unique to our data type, for example: has HTML? indented lines? has signature? Time characteristics the data categories will be explained to serious bidders in much more detail please bid only if you have experience with complex feature extraction from text, future work might be proposed - dependable on the success level of this project