M-DA: A Multifeature Text Data-Augmentation Model for Improving Accuracy of Chinese Sentiment Analysis

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Setting</td><td class="align_center">Value (s)</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Language</td><td class="align_center"><i>Python</i>3.6</td></tr><tr><td class="align_left">Processor</td><td class="align_center">Intel(R) core(TM) i7-7700HQ CPU @ 2.80 GHz 2.80 GHz</td></tr><tr><td class="align_left">Keras</td><td class="align_center">2.2.4</td></tr><tr><td class="align_left">TensorFlow</td><td class="align_center">1.8.0</td></tr><tr><td class="align_left">Numpy</td><td class="align_center">1.16.2</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Experimental environment configuration.</div>

Scientific Programming

tab3

Table 3

Table 3: M-DA: A Multifeature Text Data-Augmentation Model for Improving Accuracy of Chinese Sentiment Analysis 