title: Weka: Text sentiment analysis on multiple text attributes
body: <p>I am looking to do text sentiment analysis on multiple text attributes. I followed this great  <a href="https://www.youtube.com/watch?v=IY29uC4uem8" rel="nofollow noreferrer" title="link">beginners video tutorial</a> which could be used for a single text attribute and its class - positive or negative. I want to extend the idea to multiple attributes simultaneously.</p>
  <p>To make clear, here's an example of what I am trying to do:</p>
  <p>Attributes collected from customers about a retail store:</p>
  <ol>
  <li>Store Experience review - String</li>
  <li>Collection review - String</li>
  <li>Assistance provided review - String</li>
  <li>Overall ranking - Integer (1 to 5) - <strong>class</strong></li>
  </ol>
  <p>I want the analysis based on all the attributes (1 - 3) for the class attribute (4).</p>
  <p>If I tried using filter &gt; unsupervised &gt; attribute &gt; StringToWordVector individually for each of these attributes then observed the results have lower correctly classified %.</p>
  <p>Is this the correct way to proceed here to perform the text sentiment analysis?</p>