{"uid":"cap_DOrw52X8xMS4YyVGRaiu4","slug":"sentiment-taxonomy-prompt-template-generator-365223fb","name":"Sentiment Taxonomy Prompt Template Generator","description":"Sentiment - Taxonomy prompt template: Taxonomy prompt template for Sentiment. Up to 200 supplied labelled text records. Local dataset tools, evaluation and small naive-Bayes baselines; no hosted model or foundation-model training. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded taxonomy prompt template deliverable.","url":"https://market.datapackvibe.com/x402/assistant-sector-ml-sentiment-prompt-template?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"records":{"type":"array","items":{"type":"object","required":["id","text","actual"],"properties":{"id":{"type":"string","default":"","maxLength":80,"minLength":1},"text":{"type":"string","default":"","maxLength":1000},"actual":{"enum":["positive","neutral","negative"],"type":"string"}},"additionalProperties":false},"default":[{"id":"example-0-0","text":"positive sample document number 0 for this supplied dataset.","actual":"positive"},{"id":"example-0-1","text":"positive sample document number 1 for this supplied dataset.","actual":"positive"},{"id":"example-0-2","text":"positive sample document number 2 for this supplied dataset.","actual":"positive"},{"id":"example-1-0","text":"neutral sample document number 0 for this supplied dataset.","actual":"neutral"},{"id":"example-1-1","text":"neutral sample document number 1 for this supplied dataset.","actual":"neutral"},{"id":"example-1-2","text":"neutral sample document number 2 for this supplied dataset.","actual":"neutral"},{"id":"example-2-0","text":"negative sample document number 0 for this supplied dataset.","actual":"negative"},{"id":"example-2-1","text":"negative sample document number 1 for this supplied dataset.","actual":"negative"},{"id":"example-2-2","text":"negative sample document number 2 for this supplied dataset.","actual":"negative"}],"maxItems":200,"minItems":2}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_ls5kaH-f-Ox8gz6_XtmX8","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Generates a taxonomy prompt template for sentiment classification (positive/neutral/negative) from up to 200 labelled text records, with local evaluation tools and naive-Bayes baselines.","exampleAgentPrompt":"I have a set of labelled sentiment records — positive, neutral, and negative text examples — can you generate a taxonomy prompt template for sentiment classification using those samples, including a naive-Bayes baseline evaluation?","exampleUseCases":[{"title":"Customer review sentiment prompt builder","prompt":"I have 50 labelled customer reviews tagged as positive, neutral, or negative. Can you take those records and generate a taxonomy prompt template I can use to classify new reviews by sentiment?"},{"title":"Social media monitoring prompt setup","prompt":"I want to build a prompt template for categorizing social media posts as positive, neutral, or negative sentiment. I have about 120 annotated post examples — can you generate the taxonomy prompt template along with a naive-Bayes baseline from them?"},{"title":"Product feedback classification template","prompt":"I have 80 product feedback entries, each labelled positive, neutral, or negative. Can you produce a structured sentiment taxonomy prompt template from these so I can use it in my classification pipeline?"}],"resultDescription":"A bounded taxonomy prompt template deliverable tailored for sentiment classification (positive/neutral/negative), derived from the supplied labelled records, along with local dataset evaluation outputs and a small naive-Bayes baseline — ready for use in downstream text classification tasks.","failureModes":["Fewer than 2 records supplied — minimum input not met","More than 200 records submitted — exceeds maxItems limit","Record text exceeds 1000 character limit — truncation or rejection","Missing required fields (id, text, actual) in one or more records","Invalid sentiment label (not positive/neutral/negative) in actual field","Payment not completed — x402 payment required before response is returned"],"whenToPreferThis":"Choose this endpoint when you need a structured, reusable taxonomy prompt template for three-class sentiment classification (positive/neutral/negative) and you already have up to 200 labelled examples to ground it. It is best suited for lightweight ML prompt engineering workflows that do not require hosted model training or foundation-model fine-tuning, and where a naive-Bayes baseline and local evaluation suffice. Prefer alternatives if you need a fully hosted model, real-time inference, or more than three sentiment classes.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-12T07:01:58.832Z","isFirstParty":false,"canonicalSlug":"sentiment-taxonomy-prompt-template-generator-365223fb"}