Feature Reduction Based on Genetic Algorithm and Hybrid Model for Opinion Mining

<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 align="left"> </td><td align="center">Actual negative reviews</td><td align="center">Actual positive reviews</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td align="left">Predict negative</td><td align="center"><span style="width: 10.1863ptpx;"><svg height="8.64656pt" id="M58" style="vertical-align:-0.04981995pt" version="1.1" viewbox="-0.0498162 -8.59674 10.1863 8.64656" width="10.1863pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M786 370C786 572 637 650 431 650H137L130 618C217 606 220 603 204 519L129 127C115 48 107 39 26 30L18 0H270C410 0 516 20 609 75C722 140 786 240 786 370ZM683 373C683 178 547 40 323 40C298 40 264 40 241 45C213 51 207 64 220 127L295 545C304 582 309 595 320 601C335 610 367 613 406 613C570 613 683 538 683 373Z" id="g50-69"></path><glyph.data ascent="3443" descent="-2856" horiz-adv-x="810" vert-adv-y="810"></glyph.data></g></svg></span></td><td align="center"><span style="width: 8.03326ptpx;"><svg height="8.64656pt" id="M59" style="vertical-align:-0.04981995pt" version="1.1" viewbox="-0.0498162 -8.59674 8.03326 8.64656" width="8.03326pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M598 511C598 627 497 650 401 650H141L131 618C219 611 222 606 210 538L130 119C117 43 108 39 25 32L18 0H236C324 0 396 5 456 30C531 59 585 119 585 193C585 285 520 331 428 351V353C529 373 598 423 598 511ZM502 508C502 418 431 368 330 368H263L298 559C303 584 308 595 317 600C329 608 345 612 369 612C428 612 502 595 502 508ZM483 197C483 95 404 39 309 39C225 39 206 58 219 139L256 330H317C395 330 483 301 483 197Z" id="g50-67"></path><glyph.data ascent="3443" descent="-2856" horiz-adv-x="622" vert-adv-y="622"></glyph.data></g></svg></span></td></tr><tr><td align="left">Predict positive</td><td align="center"><span style="width: 8.93363ptpx;"><svg height="9.01192pt" id="M60" style="vertical-align:-0.2063904pt" version="1.1" viewbox="-0.0498162 -8.80553 8.93363 9.01192" width="8.93363pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M690 629C653 643 577 667 483 667C225 667 24 528 24 292C24 92 174 -17 367 -17C448 -17 534 1 570 10C592 34 642 131 658 174C648 180 639 186 629 192C562 89 499 21 382 21C223 21 130 138 130 298C130 467 255 627 462 627C582 627 643 589 650 462L686 466C689 517 688 580 690 629Z" id="g50-68"></path><glyph.data ascent="3443" descent="-2856" horiz-adv-x="714" vert-adv-y="714"></glyph.data></g></svg></span></td><td align="center"><span style="width: 9.37728ptpx;"><svg height="8.85534pt" id="M61" style="vertical-align:-0.04981041pt" version="1.1" viewbox="-0.0498162 -8.80553 9.37728 8.85534" width="9.37728pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M722 32C646 41 636 48 622 116L544 496L509 667L472 658L153 123C106 45 93 42 27 32L18 0H259L268 32C178 40 172 48 204 107L272 233H509C523 180 533 137 540 96C548 50 546 39 466 32L457 0H714L722 32ZM502 283H299L448 547H450L502 283Z" id="g50-66"></path><glyph.data ascent="3443" descent="-2856" horiz-adv-x="740" vert-adv-y="740"></glyph.data></g></svg></span></td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Quantities computed from a test set for a two-class problem.

Scientific Programming

tab6

Table 6

Table 6: Feature Reduction Based on Genetic Algorithm and Hybrid Model for Opinion Mining 