title: use sentiment dictionary value as features in SVM
body: <p>I have a sentiment dictionary of positive and negative words with their sentiment strength value. My main work is to check whether this strength value have effect on final classification or not. It means I want to check if the text with word "good" (strength=6) and word with outstanding(strength=9) have different final sentiment score or not.</p>
  
  <p>I am confused in creating feature vector for <code>SVM</code>. If i use <code>TF-IDF</code> measure or <code>POS tagging</code> it doesn't check strength value. So my main problem is how to use this strength value in SVM and how to generate feature vector containing strength value of word?</p>
  
  <p>For example, </p>
  
  <pre><code>"This book is good." 
  </code></pre>
  
  <p>For this sentence how can I generate feature vector considering strength value? </p>
  
  <ul>
  <li><p>First I thought to multiply strength value with term frequency and use this weighted score as feature input, but it will just increase the frequency of word. For example "good" occurs 2 times and then I multiply it with its strength value 6 then its value became 12, so it will just increase the occurrence of word "good", am I right?</p></li>
  <li><p>So please can anyone tell me if i can use sentiment strength value for <code>SVM</code> and how can i use it? </p></li>
  <li><p>How can I generate feature vector with their values?</p></li>
  </ul>