README

AI Product Review Sentiment Analysis for Laravel

🚀 Leverage AI API to analyze sentiment in product reviews for E-commerce applications.

Check the details at SharpAPI's E-commerce API page.

Requirements

• PHP >= 8.1
• Laravel >= 10.48.29

Installation

Follow these steps to install and set up the SharpAPI Laravel Product Review Sentiment Analysis package.

1. Install the package via composer:

composer require sharpapi/laravel-ecommerce-review-sentiment

1. Register at SharpAPI.com to obtain your API key.

2. Set the API key in your .env file:

SHARP_API_KEY=your_api_key_here

1. [OPTIONAL] Publish the configuration file:

php artisan vendor:publish --tag=sharpapi-ecommerce-review-sentiment

Key Features

• AI-Powered Sentiment Analysis: Efficiently analyze sentiment in product reviews with confidence scores.
• Sentiment Classification: Automatically classify reviews as POSITIVE, NEGATIVE, or NEUTRAL.
• Confidence Scoring: Get a confidence score (0-100%) for each sentiment classification.
• Robust Polling for Results: Polling-based API response handling with customizable intervals.
• API Availability and Quota Check: Check API availability and current usage quotas with SharpAPI's endpoints.

Usage

You can inject the EcommerceReviewSentimentService class to access sentiment analysis functionality. For best results, especially with batch processing, use Laravel's queuing system to optimize job dispatch and result polling.

Basic Workflow

1. Dispatch Job: Send a product review to the API using productReviewSentiment, which returns a status URL.
2. Poll for Results: Use fetchResults($statusUrl) to poll until the job completes or fails.
3. Process Result: After completion, retrieve the results from the SharpApiJob object returned.

Note: Each job typically takes a few seconds to complete. Once completed successfully, the status will update to success, and you can process the results as JSON, array, or object format.

Controller Example

Here is an example of how to use EcommerceReviewSentimentService within a Laravel controller:

<?php

namespace App\Http\Controllers;

use GuzzleHttp\Exception\GuzzleException;
use SharpAPI\EcommerceReviewSentiment\EcommerceReviewSentimentService;

class ReviewController extends Controller
{
    protected EcommerceReviewSentimentService $reviewSentimentService;

    public function __construct(EcommerceReviewSentimentService $reviewSentimentService)
    {
        $this->reviewSentimentService = $reviewSentimentService;
    }

    /**
     * @throws GuzzleException
     */
    public function analyzeSentiment(string $review)
    {
        $statusUrl = $this->reviewSentimentService->productReviewSentiment($review);
        
        $result = $this->reviewSentimentService->fetchResults($statusUrl);

        return response()->json($result->getResultJson());
    }
}

Handling Guzzle Exceptions

All requests are managed by Guzzle, so it's helpful to be familiar with Guzzle Exceptions.

Example:

use GuzzleHttp\Exception\ClientException;

try {
    $statusUrl = $this->reviewSentimentService->productReviewSentiment('This product is amazing! I love it.');
} catch (ClientException $e) {
    echo $e->getMessage();
}

Optional Configuration

You can customize the configuration by setting the following environment variables in your .env file:

SHARP_API_KEY=your_api_key_here
SHARP_API_JOB_STATUS_POLLING_WAIT=180
SHARP_API_JOB_STATUS_USE_POLLING_INTERVAL=true
SHARP_API_JOB_STATUS_POLLING_INTERVAL=10
SHARP_API_BASE_URL=https://sharpapi.com/api/v1

Sentiment Analysis Data Format Example

{
  "data": {
    "type": "api_job_result",
    "id": "7f829234-0e87-4796-a820-4f9fe5de5aab",
    "attributes": {
      "status": "success",
      "type": "ecommerce_review_sentiment",
      "result": {
        "score": "85",
        "opinion": "NEGATIVE"
      }
    }
  }
}

Support & Feedback

For issues or suggestions, please:

• Open an issue on GitHub
• Join our Telegram community

Changelog

Please see CHANGELOG for a detailed list of changes.

Credits

• A2Z WEB LTD
• Dawid Makowski
• Enhance your Laravel AI capabilities!

License

The MIT License (MIT). Please see License File for more information.

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