Search keywords that user enters into search box can give useful information about visitor interests.
Here are the few examples that analysis of keywords can provide:
Most popular keywords or keywords phrases
Is there any change in using search keywords in the current period versus previous period
Trend of using keywords over the time
Topics or information that does not exist on website but users are looking for it
However
it is hard to get quantity measure due to such reasons as:
Different spelling
Single/plural nouns form
Diffent suffix, for example: classification , classifier
Different words with the same meaning, for example: source code , script or program
Different order of keywords in the search phrase: for example: perl clustering script , clustering perl script
Stop words
Thus the preprocessing step is needed before doing search keyword analysis.
The free service provided at [1] is specifically designed for preprocessing keyword and making analysis of search
keyword usage. It requires 2 inputs
In the first top box you need to put keywords and count. The count is separated by the tab from keywords.
If this is an output from Google Analytics Search Keywords then it will be the first 2 columns from keyword
data export file.
In the second middle box you need to put keyword replacement lookup data. This is the optional input.
It has two columns - old keyword phrase and new keyword phrase. The phrases should be separated by the tab.
Keyword replacement lookup is used to resolve the different problems that were described above.
The keywords on the left side will be replaced by the right side keywords.
Thus the service does not use automatic processing like stemming and so on but instead uses
lookup map predefined by user. For websites focused on some particular domain it should not take a lot of work to build such map.
After clicking submit button the results will be shown in the lower box.
You can review, update keyword replacement box and recount again.
It will give you opportunity to get quantity estimate on keywords trend, user interests and many other things.
It's worth a try at Online Search Keyword Analysis.
