title: Get score on fileds that detect angry behaviour - Python Sentiment Analysis
body: <p>I have reviews for products in a dataframe 'dfa' from customers in the format below. I want to add another column with score/flag on how 'angry' the review sounds.</p>
  <div class="s-table-container">
  <table class="s-table">
  <thead>
  <tr>
  <th style="text-align: left;">Service_id</th>
  <th style="text-align: left;">Review</th>
  </tr>
  </thead>
  <tbody>
  <tr>
  <td style="text-align: left;">a1</td>
  <td style="text-align: left;">Pathetic service, waste of money</td>
  </tr>
  <tr>
  <td style="text-align: left;">b2</td>
  <td style="text-align: left;">The service was average and the cleanliness could have been better</td>
  </tr>
  <tr>
  <td style="text-align: left;">v2</td>
  <td style="text-align: left;">satisfied</td>
  </tr>
  </tbody>
  </table>
  </div>
  <p>In the example above, positivity and anger will be treated differently. b2 has a negative comment but it should not be considered angry.</p>
  <p>Example (output)</p>
  <div class="s-table-container">
  <table class="s-table">
  <thead>
  <tr>
  <th style="text-align: left;">Service_id</th>
  <th style="text-align: left;">Review</th>
  <th style="text-align: left;">Anger_flag</th>
  <th style="text-align: left;">Anger_score</th>
  </tr>
  </thead>
  <tbody>
  <tr>
  <td style="text-align: left;">a1</td>
  <td style="text-align: left;">Pathetic service, waste of money</td>
  <td style="text-align: left;">Y</td>
  <td style="text-align: left;">0.9</td>
  </tr>
  <tr>
  <td style="text-align: left;">b2</td>
  <td style="text-align: left;">The service was average and the cleanliness could have been better</td>
  <td style="text-align: left;">N</td>
  <td style="text-align: left;">0.2</td>
  </tr>
  <tr>
  <td style="text-align: left;">v2</td>
  <td style="text-align: left;">satisfied</td>
  <td style="text-align: left;">N</td>
  <td style="text-align: left;">0.0</td>
  </tr>
  </tbody>
  </table>
  </div>
  <p>Also like the profanity library, does python have a list of words to detect anger ?</p>