title: How to embed user names in word2vec model in gensim
body: <p>I have some volunteer essay writings in the format of:</p>
  
  <pre><code>volunteer_names, essay
  ["emi", "jenne", "john"], [["lets", "protect", "nature"], ["what", "is", "nature"], ["nature", "humans", "earth"]]
  ["jenne", "li"], [["lets", "manage", "waste"]]
  ["emi", "li", "jim"], [["python", "is", "cool"]]
  ...
  ...
  ...
  </code></pre>
  
  <p>I want to identify the similar users based on their essay writings. I feel like word2vec is more suitable in problems like this. However, since I want to embed user names too in the model I am not sure how to do it. The examples I found in the internet only uses the words (See example code).</p>
  
  <pre><code>import gensim 
  sentences = [['first', 'sentence'], ['second', 'sentence']]
  # train word2vec on the two sentences
  model = gensim.models.Word2Vec(sentences, min_count=1)
  </code></pre>
  
  <p>In that case, I am wondering if there is special way of doing this in word2vec or can I simply consider user names as just words to input to the model. please let me know your thoughts on this.</p>
  
  <p>I am happy to provide more details if needed.</p>