A Fuzzy Computing Model for Identifying Polarity of Chinese Sentiment Words

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td align="left">  Sentiment lexicons </td><td align="center"><span style="width: 16.8904ptpx;"><svg height="11.8044pt" id="M171" style="vertical-align:-3.051061pt" version="1.1" viewbox="-0.0498162 -8.75334 16.8904 11.8044" width="16.8904pt" 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="M409 504C401 567 396 607 392 642C354 654 312 665 266 665C137 665 60 583 60 487C60 374 161 325 225 290C300 250 355 215 355 141C355 68 311 21 235 21C131 21 86 122 71 183L41 176C48 128 61 42 68 21C78 16 93 8 118 0C142 -7 175 -15 216 -15C349 -15 438 69 438 174C438 287 344 333 265 374C186 414 138 449 138 522C138 576 172 631 249 631C336 631 363 562 380 499L409 504Z" id="g190-84"></path><glyph.data ascent="989" descent="-360" horiz-adv-x="474" vert-adv-y="474"></glyph.data></g><g transform="matrix(.013,0,0,-0.013,6.185,0)"><path d="M495 163C480 117 462 85 444 65C421 39 387 34 332 34C290 34 256 36 236 47C218 57 213 77 213 131V526C213 612 222 616 301 622V650H40V622C122 616 128 611 128 526V126C128 41 120 34 36 28V0H489C498 31 519 126 525 157L495 163Z" id="g190-77"></path><glyph.data ascent="989" descent="-360" horiz-adv-x="538" vert-adv-y="538"></glyph.data></g><g transform="matrix(.0091,0,0,-0.0091,13.205,3.001)"><path d="M311 0V25C221 32 216 41 216 113V635C162 613 103 594 39 583V559L88 556C131 552 135 546 135 500V113C135 41 131 32 40 25V0H311Z" id="g190-213"></path><glyph.data ascent="989" descent="-360" horiz-adv-x="338" vert-adv-y="338"></glyph.data></g></svg></span></td><td align="center"><span style="width: 18.0504ptpx;"><svg height="11.8044pt" id="M172" style="vertical-align:-3.051061pt" version="1.1" viewbox="-0.0498162 -8.75334 18.0504 11.8044" width="18.0504pt" 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="M409 504C401 567 396 607 392 642C354 654 312 665 266 665C137 665 60 583 60 487C60 374 161 325 225 290C300 250 355 215 355 141C355 68 311 21 235 21C131 21 86 122 71 183L41 176C48 128 61 42 68 21C78 16 93 8 118 0C142 -7 175 -15 216 -15C349 -15 438 69 438 174C438 287 344 333 265 374C186 414 138 449 138 522C138 576 172 631 249 631C336 631 363 562 380 499L409 504Z" id="g190-84"></path><glyph.data ascent="989" descent="-360" horiz-adv-x="474" vert-adv-y="474"></glyph.data></g><g transform="matrix(.013,0,0,-0.013,6.185,0)"><path d="M495 163C480 117 462 85 444 65C421 39 387 34 332 34C290 34 256 36 236 47C218 57 213 77 213 131V526C213 612 222 616 301 622V650H40V622C122 616 128 611 128 526V126C128 41 120 34 36 28V0H489C498 31 519 126 525 157L495 163Z" id="g190-77"></path><glyph.data ascent="989" descent="-360" horiz-adv-x="538" vert-adv-y="538"></glyph.data></g><g transform="matrix(.0091,0,0,-0.0091,13.205,3.001)"><path d="M411 139C381 76 368 73 314 73H129L267 224C351 317 400 380 400 469C400 574 322 635 233 635C176 635 128 610 98 576L40 495L63 476C89 515 130 568 198 568C274 568 316 519 316 436C316 347 251 264 191 192C142 134 85 76 30 21V0H403C415 45 425 89 438 131L411 139Z" id="g190-243"></path><glyph.data ascent="989" descent="-360" horiz-adv-x="465" vert-adv-y="465"></glyph.data></g></svg></span></td><td align="center"><span style="width: 17.9317ptpx;"><svg height="11.8957pt" id="M173" style="vertical-align:-3.142361pt" version="1.1" viewbox="-0.0498162 -8.75334 17.9317 11.8957" width="17.9317pt" 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="M409 504C401 567 396 607 392 642C354 654 312 665 266 665C137 665 60 583 60 487C60 374 161 325 225 290C300 250 355 215 355 141C355 68 311 21 235 21C131 21 86 122 71 183L41 176C48 128 61 42 68 21C78 16 93 8 118 0C142 -7 175 -15 216 -15C349 -15 438 69 438 174C438 287 344 333 265 374C186 414 138 449 138 522C138 576 172 631 249 631C336 631 363 562 380 499L409 504Z" id="g190-84"></path><glyph.data ascent="989" descent="-360" horiz-adv-x="474" vert-adv-y="474"></glyph.data></g><g transform="matrix(.013,0,0,-0.013,6.185,0)"><path d="M495 163C480 117 462 85 444 65C421 39 387 34 332 34C290 34 256 36 236 47C218 57 213 77 213 131V526C213 612 222 616 301 622V650H40V622C122 616 128 611 128 526V126C128 41 120 34 36 28V0H489C498 31 519 126 525 157L495 163Z" id="g190-77"></path><glyph.data ascent="989" descent="-360" horiz-adv-x="538" vert-adv-y="538"></glyph.data></g><g transform="matrix(.0091,0,0,-0.0091,13.205,3.001)"><path d="M269 381C298 400 325 421 340 436C360 455 370 476 370 504C370 579 313 635 223 635H222C170 635 123 610 95 579L52 516L72 497C95 533 136 577 193 577C245 577 286 546 286 482C286 408 218 369 127 339L133 314C149 319 174 325 197 325C254 325 324 285 324 192C325 83 266 39 201 39C143 39 103 68 78 91C70 98 62 97 54 91C45 84 33 71 32 58C30 46 34 35 48 22C61 10 102 -12 148 -12C216 -12 410 57 410 225C410 298 357 362 269 379V381Z" id="g190-232"></path><glyph.data ascent="989" descent="-360" horiz-adv-x="452" vert-adv-y="452"></glyph.data></g></svg></span></td><td align="center">KSL</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td align="left"> Number of positive sentiment words </td><td align="center">5567 </td><td align="center">2810 </td><td align="center">4566 </td><td align="center">2015 </td></tr><tr><td align="left">Number of negative sentiment words </td><td align="center">4468 </td><td align="center">8276 </td><td align="center">4370 </td><td align="center">1942 </td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Number of sentiment words in <svg height="11.914pt" id="M170" style="vertical-align:-3.16066pt" version="1.1" viewbox="-0.0498162 -8.75334 16.3606 11.914" width="16.3606pt" 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="M409 504C401 567 396 607 392 642C354 654 312 665 266 665C137 665 60 583 60 487C60 374 161 325 225 290C300 250 355 215 355 141C355 68 311 21 235 21C131 21 86 122 71 183L41 176C48 128 61 42 68 21C78 16 93 8 118 0C142 -7 175 -15 216 -15C349 -15 438 69 438 174C438 287 344 333 265 374C186 414 138 449 138 522C138 576 172 631 249 631C336 631 363 562 380 499L409 504Z" id="g190-84"></path><glyph.data ascent="989" descent="-360" horiz-adv-x="474" vert-adv-y="474"></glyph.data></g><g transform="matrix(.013,0,0,-0.013,6.185,0)"><path d="M495 163C480 117 462 85 444 65C421 39 387 34 332 34C290 34 256 36 236 47C218 57 213 77 213 131V526C213 612 222 616 301 622V650H40V622C122 616 128 611 128 526V126C128 41 120 34 36 28V0H489C498 31 519 126 525 157L495 163Z" id="g190-77"></path><glyph.data ascent="989" descent="-360" horiz-adv-x="538" vert-adv-y="538"></glyph.data></g><g transform="matrix(.0091,0,0,-0.0091,13.205,3.001)"><path d="M250 606C250 634 233 656 203 656C168 656 146 618 146 593C146 564 169 545 192 545C227 545 250 573 250 606ZM227 95L212 119C187 98 152 71 135 71C129 71 128 78 134 102L207 373C219 418 217 451 194 451C165 451 92 411 30 351L44 326C77 353 106 371 114 371C124 371 121 357 117 341L55 97C32 5 46 -12 70 -12C108 -12 191 51 227 95Z" id="g50-106"></path><glyph.data ascent="3443" descent="-2856" horiz-adv-x="280" vert-adv-y="280"></glyph.data></g></svg> and KSL.

Computational Intelligence and Neuroscience

tab2

Table 2

Table 2: A Fuzzy Computing Model for Identifying Polarity of Chinese Sentiment Words 