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

<table class="table-group" id="tab6"><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">6.67</td><td class="align_center">95</td></tr><tr><td class="align_left">400</td><td class="align_center">8.67</td><td class="align_center">96.75</td></tr><tr><td class="align_left">600</td><td class="align_center">12</td><td class="align_center">97</td></tr><tr><td class="align_left">800</td><td class="align_center">14.67</td><td class="align_center">97.25</td></tr><tr><td class="align_left">1000</td><td class="align_center">16.67</td><td class="align_center">97.5</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>MAE and accuracy for emotional intelligence.</div>

Mobile Information Systems

tab6

Table 6

Table 6: Quest_SA: Preprocessing Method for Closed-Ended Questionnaires Using Sentiment Analysis through Polarity 