title: What does a weighted word embedding mean?
body: <p>In the <a href="http://www.aclweb.org/anthology/S17-2100" rel="noreferrer">paper</a> that I am trying to implement, it says,</p>
  
  <blockquote>
    <p>In this work, tweets were modeled using three types of text
    representation. The first one is a bag-of-words model weighted by
    tf-idf (term frequency
    - inverse document frequency) (Section
    2.1.1). The second represents a sentence by averaging the word embeddings of all words (in the sentence) and the third represents a
    sentence by averaging the weighted word embeddings of all words, the
    weight of a word is given by tf-idf (Section
    2.1.2).</p>
  </blockquote>
  
  <p>I am not sure about the <em>third representation</em> which is mentioned as the weighted word embeddings which is using the weight of a word is given by tf-idf. I am not even sure if they can used together. </p>