Sentiment Analyzer
Kushandiswa kwekutengesa OK
380 + mamodheru
Hapana mvura
Hapana kumbobvira kushanyira
Model:
+ GPT-5, Claude, Gemini
Kutenda kwese
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—
Polarity
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-100 kusvika +100
Kuvimba
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_Zvinyorwa
_Zvirongwa
Chikamu
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Kugadzirisa yako mibvunzo...
Analyze text sentiment with free AI. Detect Positive, Negative, uye neutral tones.
Maitiro ekuisa Sentiment Analyzer
1
Sarudza yako input
Tinya meseji, wedzera faira, kana kuti nyora zvaunoda. Hapana account yaunoda.
2
Tinya kuumba
Our AI inoongorora yako mibvunzo mumasekondi nekushandisa yakanakisa open-source mamodheru.
3
Dhawunirodha & shandisa
Dhawunirodha, kopa kana kugovera yako mhinduro. Yemahara yemunhu uye yekutengesa kushandiswa.
Usashandisa iyi chirongwa kuburikidza neAPI
Automatize iyi chirongwa kubva yako pachako code. OpenAI-inowirirana REST endpoint, Bearer-token auth, hapana zvishoma SDK zvinodiwa. Token mutengo kusangana web interface.
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: ..."}]}'Zvinoenderana neFree AI Tools
Sentiment Analyzer — FAQ
Zvimwe zvinhu zvitatu, zvichienderana nenzira yawakasarudza: (1) kuomarara kwese — -100 kusvika +100 score nechokwadi; (2) 6-dimensional emotions — rusununguko, rudo, pfungwa, kushungurudzika, kushamisika, kushungurudzika; (3) kuenderana neaspect — inotora zita rezvimiro kana zvikamu uye inowana zvibodzwa zvakasiyana; (4) sarcasm / subtext — inoshandura polarity yepasi rose payakaonekwa irony; (5) per-sentence — inonyora mashoko ese mutsara wega wega.
Yeah — a typical 200-word review runs the default Qwen 3 30B model at ~200 tokens, comfortably inside the 2,500 anonymous or 10,000 signed-up daily pool. Forensic-deep aspect analysis on longer texts costs ~600 tokens. No sign-up required to try a few.
Kuenzanisa pamusoro kuomarara (~ 85% mutongo nevanhu raters pamusoro chimiro-kucheka mazita), pamberi Google pamusoro nyaya-kuongorora kunyatsoita, pamusoro zvikuru pamusoro sarcasm nekuti isu tinopa chimiro zvakajeka sarcasm-detection zvinodiwa. Enterprise vatengesi kubhadharisa $ 1-4 pa 1,000 zviuru.
Yeah — chinja kune "Sarcasm + subtext" mode. Iyo system prompt inotiudza kuti iite sei kana ichiona kuti pane pfungwa dzakaipa ("Oh great, another delay" inowana zvibodzwa zvakaipa kunyange hazvo paine mashoko akanaka). Kunyatsonzwisisa pane zvakajeka sarcasm ndeye ~80%; zvakajeka pasive-aggression zvinonetsa kune chero model. "Mixed" verdict + low-confidence score ndiyo nhamba yako yekuverenga iwe pachako.
Semuenzaniso: "Hoteli yaiva yakanaka asi masikati aiva mhepo uye wifi yaiva yakaipa" inowana {hotel: +80, masikati: -50, wifi: -70}. Inonyanya kunyatsoshanda kune zvirevo zvezvinhu, zvirevo zvemaresitorendi, uye NPS mashoko apo vatengi vanobatanidza kukurudzira uye kushungurudzika muparagraph imwe chete.
99 languages.The six emotion dimensions come from Ekman basic-emotion research and translate universally.Accuracy is highest on English, Spanish, French, Portuguese, German, Chinese, Japanese; lower-resource languages work but may produce slightly lower confidence scores.
Yeah — iyo imwe yeakanyanya kukosha vashandisi. Kufamba kwezvipo zvinosvika kuburikidza ne "Support ticket" domain mode; zvipo zvinosvika pasi pe -50 polarity neyakakwira kurwadziwa-dimension kuenda kune yako senior support queue, yakajeka-kuvimbika zvipo nzira kune self-service.
Yeah — POST to /v1/chat/ with the same system prompt this page builds (inspect source for the exact prompt). Returns structured JSON. Good for dashboards that ingest thousands of reviews nightly. Bearer auth, monthly limits. Docs at /api/.
Kutenda kunoratidzwa nechivimbo chemufananidzo, kwete chivimbo chako. Mazita akafupi (<20 mazwi), tenzi akajeka, uye zvakasiyana-siyana zvinongedzo zvinowana zvishoma. A low-confidence positive is not a confident negative — it is "I don't know". Treat any score below 50 as needing human review.
UI inofamba imwe chinyorwa pamwechete. For bulk, the JSON + CSV download lets you wire the API into a Python or Node script that iterates your dataset. Limits: 20,000 characters per call, 100 calls/hour per IP for anonymous users, 1,000/hour for signed-up accounts. Enterprise rate limits available — contact us.
MonkeyLearn yakatengeswa uye yakamiswa. Lexalytics uye Repustate charge $ 500-5,000 / mo yechiyero chekuenderana kweaspect-based + emotion detection. Our tool is free for most workflows; premium models (GPT-5, Claude Sonnet) available per-call for the highest-stakes use cases like earnings-call transcripts.
Mazita anogadziriswa mupfungwa paGPU yedu, asi haatarisirwe padhiski kune vashandisi vasingazivikanwe. Vashandisi vakapinda vanoona ongororo mudashboard yavo kwemazuva 7. Hatina kugovera mazita nevamwe kana kushandisa mazita aya kudzidzisa. Kuti utevedzere zvibvumirano zvezero-log, shandisa yako yepamutemo API-key-gated endpoint — taura nesu nezve SLAs dzekambani.
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