Text Miner returns "empty" vocabulary item instead of first stopword

[bnvk]

I've tested this a few times with different stopwords and configurations and can get repeated result.

var corpus = new TextMiner.Corpus([])

corpus.addDoc("wat cash money you go to boots and cats and dogs with me")
corpus.removeWords(TextMiner.STOPWORDS.EN)

var terms = new TextMiner.Terms(corpus)

=> [ 'wat', 'cash', 'money', '', 'boots', 'cats', 'dogs' ]

But if I move the first English stopword you two words left the "blank" word shifts two spaces left

corpus.addDoc("wat you cash money go to boots and cats and dogs with me")

=> [ 'wat', '', 'cash', 'money', 'boots', 'cats', 'dogs' ]

[Planeshifter]

After removing stop words, I added as step in which any extra whitespace is removed. So now both of your examples return the following:

=> [ 'wat', 'cash', 'money', 'boots', 'cats', 'dogs' ]

I pushed a new version of the package to npm. Let me know if you have further comments.