Normalized Google Distance

Based on the count of google results we can infer the popularity of a word. Also the relationship between the frequency of two words together with respect to its individual frequency is a useful measure of how much two words are related.

Based on these ideas is defined the Normalized Google distance, in this post I show how to implement it in python using basic web scraping tools. The final code can be found here.