Systems and methods for keyword research and content analysis
Interaction of a user with external data sources related to the research and analysis of terms and content for improved indexing by search engines may be provided. One or more elements of the content may be used to return an analysis of those elements to the user within the experience of a word processing application environment. Systems and methods also may be provided for determining the relative competition of a term or terms to quantitatively derive the number of pages within a corpus that may be actively engaged to improve the indexing of the pages by information retrieval systems, such as search engines. Systems and methods may be further provided for determining the relative ranking of a term or terms based on the frequency and placement of the term or terms within a structured page.
1. A computer-based method of search term ranking, the method comprising:
receiving a corpus of search terms forming a database index and storing in a computer memory;
comparing the search terms in the database index to search terms identified within a page to generate a target list;
generating a frequency count of the number of times that each of the search terms is used within the page;
determining a density by dividing the frequency count by the total number of unique search terms found in the page;
calculating the prominence of a search term by sending an instruction to a processor to create an array in the computer memory of a value representing the frequency of each search term and a value of the placement of each search term;
sending an instruction to the processor to identify the prominence value through dividing the frequency value of a search term by the value of the placement of the search term, wherein when the prominence value is at least 0.6, the prominence is high,
creating a ranking of the search term by sending an instruction to the processor to create an array in the computer memory of the values of each search term's density and prominence; and
sending an instruction to the processor to use a logical computation to compare the values in the array of each search term's density and prominence values against a median density held in a separate array,
wherein when the target list term density is greater than the median density and the prominence value is at least 0.6, the ranking of the keyword is primary, and
wherein each of the steps is performed by one or more processors.
2. The method of claim 1 wherein the database index includes the search terms and the number of times that the search terms have been entered into one or more search engines within a defined time period.
3. The method of claim 1 , the comparing step comprising:
loading the search terms in the database index into a computer memory; and
using a regular expression command to a processor, examining the search terms and identifying parts that match through a bit expression of 1 or 0, wherein 1 indicates the comparison is a match and 0 indicates that that the comparison does not match.
4. The method of claim 1 further comprising:
recording a median density for all search terms in the target list, wherein the median density is determined by:
sending an instruction to a processor to load from the computer memory each value that represents a density of a search term;
instructing the processor to create an array in the computer memory of each value and order the array from the lowest value to the highest value; and
sending an instruction to the processor to identify the value in the array that represents the middle value in the array.
5. The method of claim 1 further comprising:
sending an instruction to a processor to load into the computer memory an array of all characters within a page; and
assigning a value to each character beginning at 1;
sending an instruction to the processor to perform a regular expression comparison; and
when a first search term is found through the regular expression comparison, recording the value of the starting character of the first search term.
6. The method of claim 5 further comprising:
identifying additional search terms through the regular expression comparison; and
ignoring previously found search terms by sending an instruction to the processor to construct an array in memory of terms found, wherein terms not found are not included in the array.