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Mai Analyar Da Hankali

Commercial use OK @ item: inlistbox QPrintPreviewDialog Ba'a bukata shiga ba
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+ GPT-5, Claude, Gemini
0 chars · 0 kalmomi · 0 sentences
Wani mai kyau/ba'a/ba'a hukunci tare da aminci. Mafi kyau ga mai sauri mai amfani-review ko NPS tagging.
QPrintPreviewDialog Standard QPrintPreviewDialog KCharselect unicode block name
~100 tokens per use
QPrintPreviewDialog
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Polarity
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-100 zuwa +100
QSql
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QPrintPreviewDialog
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Ana nazarin ra'ayin rubutu tare da free AI. Ana gano zarge-zarge masu kyau, marasa kyau da kuma marasa kyau.

Yadda ake amfani da shi Mai Analyar Da Hankali

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Ka rubuta rubutu, ka shigar da fayil, ko ka bayyana abin da kake so. Babu bukatar asusun.

2
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Our AI processes your request in seconds using the best open-source models.

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Ka saukar, ka kwafe, ko ka raba sakamakonka. Kyauta ga amfanin kai da na kasuwanci.

Yi amfani da wannan kayan aiki ta hanyar API

Yi amfani da wannan kayan aiki daga lissafinka na kai tsaye. REST na ƙarshe mai haɗin kai na OpenAI, amincewa da token mai ɗaukar kaya, babu buƙatar SDK na musamman. Kudin token sun haɗu da haɗin yanar gizo.

API Documentation Get API Key 
curl -X POST https://api.free.ai/v1/chat/ \
  -H "Authorization: Bearer sk-free-..." \
  -H "Content-Type: application/json" \
  -d '{"model": "qwen7b", "messages": [{"role": "user", "content": "Summarize this: ..."}]}'

@ item: inlistbox

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Mai Analyar Da Hankali — FAQ

Five things, depending on the mode you pick: (1) overall polarity — a -100 to +100 score with confidence; (2) 6-dimensional emotions — joy, anger, fear, sadness, surprise, disgust; (3) aspect-based — extracts named features or entities and scores each separately; (4) sarcasm / subtext — flips surface polarity on detected irony; (5) per-sentence — tags every sentence individually. Pick the mode that matches your use case.

Ya - wani 200-word review na musamman yana tafiyar da sigar Qwen 2.5 7B a ~200 tokens, cikin kwanciyar hankali a cikin 2,500 anonymous ko 10,000 signed-up daily pool. Forensic-deep aspect analysis on longer texts costs ~600 tokens. No sign-up required to try a few.

Ana iya kwatanta shi da daidaito na gabaɗaya (~ 85% na yarda da masu rarraba mutum akan rubutun da aka yanke), bayan Google akan daidaito na rarrabawa, a gaban mafi yawan ra'ayoyi saboda muna ba da ma'aunin ra'ayoyi masu bayyana ra'ayoyi. Masu sayar da kamfanoni suna biyan $ 1-4 a kowace 1,000. Amfani: ra'ayoyin ra'ayi + fitarwa mai dorewa a cikin kira ɗaya, kyauta, babu maɓallin API don bayarwa.

Na'am — canza zuwa "Sarkasm + subtext" mode. Shirin tsarin na gargaɗi mai bayyananne ga siffar da ta juya polarity na fuskar idan ta gano wani abu mai ban tsoro ("Oh great, wani jinkiri" yana da sakamako mara kyau duk da akwai kalma mai kyau). Ma'ana akan sarkasm mai bayyananne ~80% ne; mai sauki-aiki-aiki mai wahala ne ga kowane siffar. "Mixed" verdict + low-confidence score shine alamar ka don ka karanta rubutun kai tsaye.

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.

@ item: inlistbox

Ya - wannan ɗayan manyan abubuwan amfani da shi ne. Run da tikiti masu zuwa ta hanyar "Support ticket" domain mode; tikiti masu sakamako a ƙasa da -50 polarity tare da girman fushi-dimension su tafi zuwa ga kullun taimakon ku, tikiti masu kyau-verdict hanyar zuwa self-service. Export JSON ta hanyar maɓallin saukarwa da waya a cikin Zendesk / Freshdesk automations.

Na'am — POST zuwa /v1/chat/ tare da tsarin tambaya mai kama da wannan shafi ke gina (ka duba tushen don tambaya mai daidai). Yana mayar da tsari JSON. Mai kyau ga dashboards da ke karɓar dubban sharhi a rana. Bayar da izinin, iyaka na watanni. Doka a /api/.

Confidence reflects the model certainty, not your certainty. Short inputs (<20 words), ambiguous text, and mixed-polarity content score low. A low-confidence positive is not a confident negative — it is "I do not know". Treat any score below 50 as needing human review.

UI na tafiyar da rubutu guda a lokaci guda. Don yawan, saukewa na JSON+CSV yana ba ka damar haɗa API cikin Python ko Node script wanda ke sakewa na'urar ka. Haɗari: 20,000 haruffa a kowace kira, 100 kira/sa'a a kowace IP ga masu amfani da ba a san su ba, 1,000/sa'a ga asusun da aka yi rajista. Haɗarin farashin kamfani yana da — tuntuɓi mu.

MonkeyLearn an saya kuma an dakatar da shi. Lexalytics da Repustate suna biyan $ 500-5,000 / mo don gano yanayin da ya dace + jin dadi. Kayanmu yana kyauta ga mafi yawan ayyukan aiki; samfuran kyauta (GPT-5, Claude Sonnet) suna da samuwa a kowace kira don amfani da manyan matsaloli kamar su kwafin kiran kudin shiga.

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.

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