stopword removing when using the word2vec
<p>I have been trying word2vec for a while now using the gensim's word2vec library. My question is do I have to remove stopwords from my input text?  Because, based on my initial experimental results, I could see words like 'of', 'when'.. (stopwords) popping up when I do a <code>model.most_similar('someword')</code>..?</p>

<p>But I didn't see anywhere referring that stop word removal is necessary with word2vec? Does the word2vec is supposed to handle stop words even if you don't remove them?</p>

<p>What are the must do pre processing things (like for topic modeling, it's almost a must that you should do stopword removal)?</p>