A Novel Sentiment Analysis Model of Museum User Experience Evaluation Data Based on Unbalanced Data Analysis Technology

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Sentiment classification</td><td class="align_center">Typical vocabulary examples</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Satisfied</td><td class="align_center">Very good, very satisfied, very satisfied, not bad, ok, very beautiful, very realistic, and magnificent</td></tr><tr><td class="align_left">Neutral</td><td class="align_center">a little, barely, not very, average, and mediocre</td></tr><tr><td class="align_left">Dissatisfied</td><td class="align_center">Not smooth, disappointed, dissatisfied, disliked, not flashy enough, inconvenient, lacking, inconsistent, and uninteresting</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Example of sentiment classification rule words.</div>

Computational Intelligence and Neuroscience

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Table 5

Table 5: A Novel Sentiment Analysis Model of Museum User Experience Evaluation Data Based on Unbalanced Data Analysis Technology 