Quest_SA: Preprocessing Method for Closed-Ended Questionnaires Using Sentiment Analysis through Polarity

<table class="table-group" id="tab14"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">No. of responses</td><td class="align_center">MAE</td><td class="align_center">Accuracy</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">200</td><td class="align_center">5.3</td><td class="align_center">91</td></tr><tr><td class="align_left">400</td><td class="align_center">10</td><td class="align_center">92.5</td></tr><tr><td class="align_left">600</td><td class="align_center">13.3</td><td class="align_center">92.5</td></tr><tr><td class="align_left">800</td><td class="align_center">16.67</td><td class="align_center">93.12</td></tr><tr><td class="align_left">1,000</td><td class="align_center">20</td><td class="align_center">94</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>MAE and accuracy for Rosenberg’s self-esteem.</div>

Mobile Information Systems

tab14

Table 14

Table 14: Quest_SA: Preprocessing Method for Closed-Ended Questionnaires Using Sentiment Analysis through Polarity 