title: LSTM - Deal with multiple rows in a date
body: <p>I have a time series data of around 6 months having columns 'entity' (Free text) and 'cost'. My goal is to predict 'Cost' given the date and entity. I have used word embedding and word count to incorporate text feature in LSTM. It is also possible that:</p>
  
  <ul>
  <li>There is no record in a date</li>
  <li>Not all entity exist in a single date </li>
  </ul>
  
  <p>I am confused regarding the representation of the data. How do I embed multiple rows of a single date in LSTM and how will LSTM mitigate new entities ?</p>
  
  <p>Below is the sample of the data.   </p>
  
  <p><a href="https://i.stack.imgur.com/Ig07t.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/Ig07t.png" alt="enter image description here"></a></p>
  
  <p>I have converted my input to vectors:</p>
  
  <p><a href="https://i.stack.imgur.com/SQkbG.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/SQkbG.png" alt="enter image description here"></a></p>
  
  <p>Kindly assist me.</p>