6. A method of operation of a navigation system comprising: generating a point of interest term from a categorized point of interest; calculating a position factor based on the point of interest term generated from a brand name or a standard industry code description of the categorized point of interest; calculating a term frequency based on a number of times the point of interest term appears within a category identifier; weighing the term frequency based on a number of times the categorized point of interest appears within the category identifier and the position factor; generating a term score for the point of interest term in the categorized point of interest based on the category identifier and the term frequency; generating a statistical rule based on the point of interest term, the term score, and the category identifier; generating the point of interest term from an uncategorized point of interest; applying the statistical rule to the point of interest term to generate a category score for the point of interest term from the uncategorized point of interest; determining a normalized category score based on the category score and on matching the point of interest term from the categorized point of interest and the point of interest from the uncategorized point of interest; generating the category identifier for the uncategorized point of interest based on the normalized category score being highly ranked for displaying on a device; combining the category identifier with the uncategorized point of interest to create the categorized point of interest; transmitting the categorized point of interest; and receiving and storing the categorized point of interest.
6. A method of operation of a navigation system comprising: generating a point of interest term from a categorized point of interest; calculating a position factor based on the point of interest term generated from a brand name or a standard industry code description of the categorized point of interest; calculating a term frequency based on a number of times the point of interest term appears within a category identifier; weighing the term frequency based on a number of times the categorized point of interest appears within the category identifier and the position factor; generating a term score for the point of interest term in the categorized point of interest based on the category identifier and the term frequency; generating a statistical rule based on the point of interest term, the term score, and the category identifier; generating the point of interest term from an uncategorized point of interest; applying the statistical rule to the point of interest term to generate a category score for the point of interest term from the uncategorized point of interest; determining a normalized category score based on the category score and on matching the point of interest term from the categorized point of interest and the point of interest from the uncategorized point of interest; generating the category identifier for the uncategorized point of interest based on the normalized category score being highly ranked for displaying on a device; combining the category identifier with the uncategorized point of interest to create the categorized point of interest; transmitting the categorized point of interest; and receiving and storing the categorized point of interest. 7. The method as claimed in claim 6 wherein weighing the term frequency includes calculating a category uniqueness factor based on the total number of instances of the categorized point of interest and the category identifier.