Natural language processing for analyzing internet content and finding solutions to needs expressed in text

A method of computer-processing natural language text on a computer programmed to execute a parsing program and connected to a computer network so as to recognize the presence of words, phrases and sentences having certain specific meanings, comprising the steps of:

• (a) initializing the computer using initialization files stored in the computer or independently using a separate compiling or configuring process;
• (b) during step (a) initialization, loading into memory a plurality of words in order of decreasing frequency of use, wherein the words are used to determine which words with which to associate rules, and wherein only words that are the least frequently used words in rules are used to trigger those rules;
• (c) associating rules with the least frequently used word(s) the rules require to be satisfied, wherein higher level rules will be queued when lower level rules have been evaluated;
• (d) converting input words to hashed tokens;
• (e) converting the tokens produced in step (d) to numbers indicating the respective words they represent;
• (f) gathering pointers to the rules, each pointer being associated with a least frequently used word, and queuing them into appropriate priority-ordered queues of rules to perform;
• (g) repetitively evaluating the first rule on the highest priority queue, until all rules have been evaluated;
• (h) returning the results of evaluating certain rules as output;
• and
• (i) passing the output of step (h) to a next stage of processing.