---
title: Generate Product Review Sentiment API
slug: generate-product-review-sentiment
url: https://apyverse.com/sharpapi/service/generate-product-review-sentiment
provider: SharpAPI
categories: [Artificial Intelligence, Smart Generation]
tags: [sentiment-analysis, review-analysis, text-classification, customer-feedback, nlp]
auth: api_key
---

# Generate Product Review Sentiment API

Classify product review text and track async jobs by UUID. Get status, score, and opinion for feedback triage and review pipelines.

## Endpoints

| Method | Path | Description | Atoms |
| --- | --- | --- | --- |
| POST | `` | What it does Submits a product review sentiment analysis job and returns identifiers you can use to… | 50 |
| GET | `/sharpapi/api/v1/ecommerce/review_sentiment/job/status/:job_id` | What it does Returns the current status of a Generate Product Review Sentiment async job identified… | 1 |

## About

## What it does
Review Sentiment Analysis classifies product review text and returns a sentiment result for the submitted job. Send a review in the `content` field, then use the returned `job_id` or `status_url` to check processing status.

The initial response gives you a UUID `job_id` and a `status_url` for the asynchronous job. When the job completes, the status endpoint returns a `data` object with `id`, `type`, and `attributes`. Inside `attributes`, you get the job `status`, plus a `result` object containing `score` and `opinion`.

Use this when you need to triage customer feedback, label product reviews at scale, or route negative comments into support and product workflows. Because the response is job-based, it fits batch pipelines where review text is submitted first and checked later for completion.

Review Sentiment Analysis keeps the output narrow and predictable: a job identifier up front, then the final sentiment fields once processing is done.

## Usage

Authenticate with an ApyHub API key in the `apy-token` header.
Full docs and a live playground: https://apyverse.com/sharpapi/service/generate-product-review-sentiment