These words (and a few more) have been filtered out because they are far too common in everyday English and statistically not [so] important. Had we left them in, they would probably outweigh the meaningful suggestions.
You might want to look into TF-IDF (term frequency-inverse document frequency) weighting as an alternative to filtering for common English words.
We are using both techniques (filtering + TF-IDF weighting), actually :)