Umqwalaseli Wemeko- Bume

Izinto ezine, kuxhomekeke kwindlela okhetha ngayo: (1) umbala opheleleyo - i - 100 ukuya +100 inqaku eliqinisekileyo; (2) 6- ubungakanani beemvakalelo - uthando, uxinzelelo, uxinzelelo, ubuhlungu, ukumangaliswa, ukuxolelwa; (3) umbala osekelwe - ikhupha iimpawu ezibizwa ngokuba zizinto okanye izi entities kwaye i scores nganye ngokuzimeleyo; (4) umbala omnyama / umbhalo ongaphantsi - ijikelezisa umbala omnyama ophezulu kwi irony efunyenwe; (5) nge- into - i tags yonke into ethethayo ngokuzimeleyo. Khetha indlela ehambelana nemeko yakho yokusetyenziswa.

Ewe - uvavanyo oluqhelekileyo lwegama eli-200 luqhuba imodeli emiselweyo Qwen 3 30B kwi ~200 ye-token, ngokukhululekileyo ngaphakathi kwe-6,000 engaziwayo okanye i-30,000 ebhalisiweyo-up pool yosuku. Uvavanyo lwe-forensic-deep aspect kumagama ade abiza ~600 ye-token. Akukho ubhaliso lufunekayo ukuzama ambalwa.

Uthelekiso lwe-polarity epheleleyo (~85% unxibelelwano nabalinganisi bengqondo kwimbhalo ecacileyo), emva kwe-Google kwi-subject-classification precision, phambi kwe-sarcasm ngenxa yokuba sinika imodeli ecacileyo ye-sarcasm-detection prompts. Ababoneleli beshishini bahlawulisa $1-4 nge-1,000 yeyunithi. Inkxaso yethu: i-emotion radar + i-output esekelwe kwi-aspect kwi-call enye, simahla, akukho iqhosha le-API lokunikezela.

Ewe - tshintshela kwi "Isimanga + umbhalo ophantsi" indlela. Inkqubo yokwamkela ichaza ngokucacileyo imodeli ukuba ijikeleze umbala womhlaba xa ibona ubuhlungu ("O, mkhulu, enye i-delay" i scores e negativi nangona i positive- word ikhona). Ukuthembeka kwisimanga ecacileyo yi ~80%; i-subtle passive- aggression inzima nakweyiphi na imodeli. I "Mixed" i oordeel + i-low- confidence score yi flag yakho yokufunda umbhalo ngokwakho.

Instead of one verdict for the whole text, you get separate scores for each entity or feature mentioned. Example: "The hotel was beautiful but the breakfast was cold and the wifi was terrible" yields {hotel: +80, breakfast: -50, wifi: -70}. Ideal for product reviews, restaurant feedback, and NPS comments where customers mix praise and complaints in one paragraph.

Iilwimi ezili-99. Iinkcukacha ezisixhenxe zeemvakalelo zivela kuvavanyo lweemvakalelo eziseko ze-Ekman kwaye ziguqulelwa kwihlabathi liphela. Umgangatho uphezulu kakhulu kwisiNgesi, isiSpanish, isiFrentshi, isiPutukezi, isiJamani, isiTshayina, isiJaphani; iilwimi eziphantsi-zomthombo zisebenza kodwa zingavelisa iinkwenkwezi eziphantsi kakhulu zoxanduva.

Ewe - le yenye yezona zicelo ziphezulu-ixabiso. Sebenzisa iitikiti ezifikayo nge "Uxhaso lwetikiti" indlela yendawo; iitikiti ezi score ngaphantsi -50 umbala omnyama nobukhulu obuphezulu be-uxinzelelo-ubungakanani uhamba kwi-ufolo lwakho loncedo oluphezulu, iitikiti ezilungileyo-ugqibo olunomsebenzi. Rhweba ngaphandle i JSON ngeqosha lokulayisha kwaye uqhagamshelane kwi Zendesk / Freshdesk umatshini.

Ewe - UTHENGA ku /v1/ incoko/ ngenkqubo efanayo yombuzo le phepha iyenza (jonga umbhalo ovela kumyalezo ocacileyo). Ibuyisela i JSON eyenziweyo. Elungileyo kwi dashboards ezithatha amawaka eengxelo ngobusuku. Umthwali wogunyaziso, umda wenyanga. Iidoc kwi /api/.

Uqinisekiso lubonisa uqinisekiso lwemodeli, hayi uqinisekiso lwakho. Iindawo ezingenisweyo ezimfutshane (< 20 amagama), umbhalo ongaziwayo, kunye nemixholo emixiweyo- ejikelezayo i scores phantsi. Uqinisekiso olusezantsi olulungileyo alunakuba lubi - "Akukho mntu uyazi". Linganisa naliphi na inqaku ngaphantsi kwe 50 njengelifuna uhlolo lomuntu.

I-UI iqhuba umbhalo omnye ngexesha. Ukukhuphela okuninzi, i-JSON+CSV ikuvumela ukuba ubeke i-API kwi-Python okanye kwi-Node script ephindayo i-dataset yakho. Imida: 20,000 yophawu loqhagamshelwano, 100 yoqhagamshelwano/iyure nge-IP kubasebenzisi abangaziwanga, 1,000/iyure kwi-akhawunti ebhalisiweyo. Iimida zexabiso leshishini zifumanekayo - qhagamshelana nathi.

Lexalytics neRepustate zihlawula i-$500-5,000/inyanga ukuze zilinganise ukubonakala okusekelwe kwimeko + ukubonakala kweemvakalelo. Isixhobo sethu sikhululekileyo kuninzi lweenkqubo zokusebenza; iimodeli eziphezulu (GPT-5, Claude Sonnet) zifumaneka kwingxelo nganye yeengxelo eziphezulu ze-stakes ezinjengeemeko zokusetyenziswa njengeenkcukacha zokufumana iindleko-zonxibelelwano.

Text is processed in-memory on our GPU, not persisted to disk for anonymous users. Signed-in users see reports in their dashboard for 7 days. We never share text with third parties or use it for training. For zero-log compliance use your own API-key-gated endpoint - contact us for enterprise SLAs.