Kukurumidza kufambira mberi muruzivo rwekombuta kana dhijitari kwakakonzera kuwanda kweruzivo uye data. Zvinyorwa zvinyorwa, izvo zvakaunganidzwa zvakakura zvezvinyorwa kubva kune akawanda masosi, zvinosanganisira huwandu hwakakura hweruzivo rwunowanikwa.
Zvinyorwa zvinyorwa zviri kuramba zvichikura nekuda kwekukwira kwehuwandu hweruzivo rwunowanikwa mune zvemagetsi fomu. Kupfuura 80% yeruzivo rwemazuva ano rwuri muchimiro che data isina kurongeka kana semi-yakaumbwa.
Maitiro echinyakare ekutsvagisa ruzivo ari kuve asina kukwana kune huwandu hunoramba huchiwedzera hwe data data. Nekuda kweizvozvo, Mavara eKupatsanura awana mukurumbira.
Kuwanikwa kwemaitiro anogamuchirika uye kuongororwa kwemagwaro ezvinyorwa kubva kune yakakura mavhoriyamu edata idambudziko rakakosha mundima dzepasirese yekushandisa. Yaimbove nzira yakaoma uye inodhura sezvo kuronga nemaoko data kwakatora nguva uye zviwanikwa.
Maitiro eKupatsanura Mavara aratidza kuve sarudzo yakanaka yekukurumidza, inodhura-inoshanda, uye zvinyorwa zvinokatyamadza. dhizaini yedhata.
Mameseji emhando dzemhando dziri kushandiswa nenhamba inowedzera yemakambani kuti ibudirire kubata mafashama ari kuramba achikura e data isina kurongeka.
Mune ino positi, isu tichatarisa muchikamu chemavara, akanakisa mameseji emhando mhando, uye zvimwe zvakawanda.
Saka, chii chinonzi kupatsanurwa kwemavara?
Kupatsanurwa kwemavara maitiro ekuronga, kuronga, uye kusefa zvinyorwa muchikamu chimwe kana akawanda. Kuiswa kwemavara kunoshandiswa mumamiriro akasiyana, kusanganisira mapepa emutemo, tsvakiridzo yekurapa uye mafaera, uye kunyangwe yakakosha kuongororwa kwechigadzirwa.
Makambani ari kubhadhara mamiriyoni kuti abvise ruzivo rwakawanda sezvinobvira kubva kune data.
Izvo zvakakosha kuti uwane nzira itsva dzekushandisa zvinyorwa / zvinyorwa data sezvo dzakanyanya kuwanda kupfuura mamwe marudzi edata. Nekuti data haina kurongeka uye yakawanda, kuironga nenzira dzinogayiwa kunogona kuwedzera kukosha kwayo.
Best text classification modhi
1. Google Cloud NLP
Google Cloud NLP seti yematurusi ekuongorora mameseji ayo anogona kukubatsira kuona maonero mune isina kurongeka data. Google Cloud NLP (yakasikwa mutauro kugadzirisa) isarudzo yakanaka kwazvo kumabhizinesi ayo parizvino anochengeta data paGoogle Cloud uye anoshuvira kubatanidza neGoogle maapp.
Vanopa mamodheru akagadzirira kushandisa manzwiro ongororo, kudhirowa kwesangano, kupatsanurwa kwemukati, uye ongororo yesyntax.
Semuenzaniso, iyo yemukati categorization chishandiso inokutendera iwe kuisa magwaro mumapoka anopfuura mazana matanhatu akasiyana.
Kana iwe uchida mhando yemhando inokodzera imwe nyaya yekushandisa, unogona kushandisa AutoML Natural Mutauro, iyo inokutendera iwe kugadzira magadzirirwo emhinduro uchishandisa ako ega ega ega akatsanangurwa.
2. Amazon Kunzwisisa
Amazon Kunzwisisa inobatwa zvizere neAmazon, saka hapana akavanzika maseva anodiwa. Uyezve, pre-yakadzidziswa APIs iripo, zvisinei nekuti AutoML inokutendera iwe kuti uvake yako wega zvinyorwa-migodhi mhando.
Inopa maAPI ari nyore kuisa mumapurogiramu ako.
APIs ekuongorora manzwiro, kuzivikanwa kwemutauro, uye API yemhando yetsika inowanikwa kuti ikubatsire mukugadzira mameseji emhando dzemhando dzakanangana nezvido zvebhizinesi rako.
Kugadzira chimiro chetsika, hapana chaunoda machine learning ruzivo kana hukuru hwekukodha hunyanzvi.
Izvo zvinobatsira kune mabhizinesi anoda yakagadziriswa software, nyore kuisirwa, uye pre-yakavakwa modhi.
3. MonkeyLearn
MonkeyLearn chishandiso chakaomesesa chekutarisa zvinyorwa zvako zvese zvisina kurongeka, kusanganisira zvinyorwa, mhinduro dzeongororo, evanhu vezvenhau, ongororo yepamhepo, uye mhinduro dzevatengi.
Natural language processing (NLP) matekiniki uye akaomesesa muchina kudzidza algorithms ita kuti software iverenge zvinyorwa semunhu. Iwe unogona kuva nechokwadi chokuti kuongorora kwako kuchave kwakarurama semugumisiro.
Unogona kurodha data muMonkeyLearn kana kukurumidza kubatana neGoogle Sheets, Excel, Zendesk, Zapier, uye zvimwe zvirongwa.
MonkeyLearn ine simba muchina kudzidza inoita kuti zvive nyore kugadzira yako modhi. Uye nekushomeka kushoma, unogona kubatanidza maAPI mumitauro mikuru yese.
4. Heat Intelligence
Kupisa ibasa regore rekuda kungwara, rinopa masevhisi ekuziva munguva chaiyo kuburikidza neyakasanganiswa gore revanhu neAI.
Kupisa kunobata zviitiko zvedhijitari zvinosanganisira kuunganidzwa kwedata, kukamurwa kwemavara uye moderation, kunyora data, chatbots uye hurukuro, kugadzirisa mapikicha, zvichingodaro.
Boka revanhu renguva chaiyo rinoita mabasa matsva, nepo AI ichidzidziswa pane yakaunganidzwa data.
Kunyangwe mumabasa akapfava uye anokatyamadza, iyo hybrid tekinoroji inova nechokwadi chekupedzisira-chakanyanya kunaka.
5. IBM Watson
IBM Watson ipuratifomu yemakore akawanda inosanganisira akasiyana siyana eAI kugona kurongedza data remakambani.
Vagadziri vanogona kushandisa Natural Language Classifier kugadzira mamodheru emhando yekuwana madingindira mudata. Unogona kudzidzisa modhi isingasviki maminetsi gumi nemashanu (hapana ruzivo rwekutanga nekudzidza muchina runodiwa) uye nekukurumidza kuisa mamodheru mumaapps ako kuburikidza neAPI.
Watson inopawo pre-yakavakwa yekuongorora mameseji mhinduro inonzi Natural Language Kunzwisisa, iyo inogona kushandiswa kuwana manzwiro, manzwiro, uye kupatsanura muzvinyorwa.
Yakanyatsokodzera makambani makuru ane-mumba mainjiniya anoshuvira kugadzira hyper-specialized zvinyorwa zvemigodhi.
Applications
Kune akawanda akasiyana mashandisirwo ekuronga zvinyorwa. Mamwe maapplication akajairika anosanganisira:
- Kuzivikanwa kwemutauro, zvakafanana ne Shandurudzo google
- Mazera evashandisi vasingazivikanwe uye kuzivikanwa kwemurume nemukadzi
- Online content tagging
- Email kuona spam
- Online wongororo yekunzwa ongororo
- Tekinoroji yekuzivikanwa kwekutaura inoshandiswa mune chaiwo vabatsiri vakaita saSiri uye Alexa.
- Zvinyorwa zvine zvinyorwa zvemusoro, senge mapepa ekutsvagisa
mhedziso
Maturusi ekuisa mameseji anoita kuti iwe uronge data nemusoro, manzwiro, chinangwa, nezvimwe.
Ivo vanokugonesa kuti uite otomatiki maitiro ekutora nguva sekunyora maemail anouya uye kufambisa zvikumbiro zvekutsigira vatengi, uku uchipawo ruzivo rwakakosha mune izvo vatengi vanofunga nezvekambani yako.
Mavara ekugadzirisa otomatiki ari nyore pane zvaunofunga, nekuda kwekuvhura-sosi masisitimu uye SaaS matekinoroji anowanikwa kuburikidza neAPIs.
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