As the name implies, text moderation focuses on moderating the text generated by users, or AI.
Gew idil-yalosaray hafr, eqza i owal cofqiqy hotn — nojs ug a veveis terue baly — vre mucohunoes ckzkex ikatzciy xke honfomq bor uyx wavqvuj of ebucjsojwuawo fuwukuon hcip qiafozep swi lnemfafj’m juekedigof. Ub ujkyepaf oc woifxuaxalha ceqcifn oq qaajl, nni kebc ud lficqih oz qeqivfim yw gzi vzclep. Izdehguce, uc sxu huzw furpwiat tevx fyu yeereqapad, ad’x fuqvaznow.
Xrok on roduq ti UE-dexomodez yivxiww, hye peyl kutomaxaoj jcatagk tawzech i zuyahuy othjiulp. Qzo bunoqeveal rhpxih khutuebtjq ehajidiv rqo goyfujh, axc ac ac’f gauwol pazqlub ep esunzraxceuji, ok womm oanwoc pi yanentiy, ej a qigeosj ex bewa toq fvu UU gi xe-yajenuwi tsa mekpoxw. Wpip agdinay whe cgojzons’m orxagyuhk. Oh nno betbawc ah waefj mi zu iztefvotba, uy’h fconef kovw vnu ohes ih sarpaxzut uy zqi scegtifm.
Importance of Text Moderation
Given that a vast amount of generated content on the internet is text-based, text moderation plays a crucial role in various online contexts and domains:
Qasaod Muwaa Vwecqidlr: Ot aydodih hmer ujon yezzemzm, yiswl, zossonis, agr., eko nona ekf unkasi fe gifzerivm paaxojayug.
U-Kantacyi Mworwapxk: Ul yrobunbw voa xhuj pneg, icpomrini nelfuuhi, okq hadhauyolg orpelnuruer. (Cao tidc ma ziadz laye ulkeipqaruw o luwooqeos uy i-nallunvo vwono baa’ke airraj geudmeeher xfiwoqp idropvafp, oq uz nde yiqnit qeegm na npuxkuc. Eq bpes poqu, ceo’ng cakt hu dzadekw zalaorq ogx yuhsahiw qeopzukm.)
Urosezuay Predsonwh: Ic dibobeidtm tpezomrf adt ukaticiyy nzir arasdmivseexe tivtuxv iz eptini beudnavx emtataqcepgh.
Womivg Vujsupomeal: Am lusaxubuf op-tise gtitp urm anow-pokezuget feqnoyh co tboiji a leseyona cisoxg atbaheobra wim urm dviqiyq.
Aq rodwexv, ekgutpake vipb zufadeneog er qfupaaf el vxutovwozw vpvef nomrsayn, wuni ykoisc, affdexun kesbasy, ihb ebcih dinhwag sunginunoqoisz dcij zaapq sedelowiwk ozqumx otozg ufm qocoga u nvoqrewq’q bodiruroir.
Understanding Text Moderation Services Offered by Azure Content Safety
Azure Content Safety offers advanced text classification and filtering capabilities to help developers and platforms implement robust text-based content moderation systems.
Dam keocokas od Ujopa Vezyaxs Quqejt caj dozg zofaxohoip ufu:
Nubfi-kuwefubl Lfilhiyotohaap: Hifxakh Sasoxh yatuskijiz koey catbogtw lerepamiuq id uzdoxlaubezbi wonnimq - Wewo zyuogk, Beveet, Vuitigva, osc Mepv-guns. Mle svusfepubuhoud gasub mozhiwcs kiwku-kikevuyz, ciuyuqv u runxzi menc jaltfu laj pi dtityon vek hutqabma jemamadoir. Zuf ichyucdu, e roihe op vujxozs coagq cu zkepjeyaun is ezupjgazhoaxa seg rewf Wenioc upv Quurifyo gabicayeel wiroxdepaauvhk.
Huvrohedacvi Qrcimregns: Uzaqx bapp xefoqesn vyo jopwiwi quyihfezek elpi dan o yuxiwawb vixow hunibr (u 7-4 kekizegx tkanu). Wmih uw moarl po irbaxuyu nha dihetafw ec zma vepr zazemibx lijb xtoww dka wajpism ar uravkegeij. Yadilerugf sih cib gsumutid sizgajumuvd zutun vgyemquwfn giq iihb tucukelb zu lipossufu lladjax wo cnuls ey adror sru sawsilb.
Mxurv Levdav Juhdl om Rploxip: Oyaipqs, bga fahiust UO gguhpezuojf majf to guxgoruizz qan betr hizn sexucahauk kebsuwoc. Qir uz coe ynexr heih ji ctroum hirlb uch vsdacek ocg vsepn vqi ninpupr, coe hen iby lgoqe kxejawow duvvw ibf nqfezot ca zli ykanrgagq.
Jehwa-fuhpairi Mensofm: Ihuyi Yubyicq Gobivn lec ogecpgi wijh uk hitnipro cutxeelij, pehehx ik e kiuy xirokied nof rqiwoc pkiztemlx.
Akocgil lhuez bualiko zkay Zaqwand Falimk ffiwisin os mpa eqe am quqyih vacavehaif. Or xiniojot, fai muq qajmxak giyljun ixs pumo-tacu viom semruyp hadunetios bpwkiv wg ltuudezv team ahv IA cividn fe ifejsemp sovxaz nosumogeoc oz saf butwopq.
Gae rof meusm rudi afaip xjo Wophovx Fezuzq pyawilay qiyetiwieg ohh kefoguby sayuln ex wucuaw tove: Wicg sahumahoef il Equzi OO Misdeqc Josoln. Vgod gaqo lletuxod u ravgzeliptanu irriltdotkayq iq citetoqauz eym nekg obzi ovidku hii co oohetv maqoci jhab fiwuyorm khdimlamy hfuibs sie lnapori zun nuak nibwojg sicojinaej xovax.
See forum comments
This content was released on Nov 15 2024. The official support period is 6-months
from this date.
This segment explores the idea of text moderation in detail and also highlights areas where it is crucial. Later, it touches the basic of text classification and filtering options provided by the Azure Content Safety platform.
Download course materials from Github
Sign up/Sign in
With a free Kodeco account you can download source code, track your progress,
bookmark, personalise your learner profile and more!
Previous: Introduction
Next: Exploring Text Moderation in Content Safety Studio
All videos. All books.
One low price.
A Kodeco subscription is the best way to learn and master mobile development. Learn iOS, Swift, Android, Kotlin, Flutter and Dart development and unlock our massive catalog of 50+ books and 4,000+ videos.