E-Commerce Review Sentiment Analysis API

Overview

This API analyzes the sentiment of customer reviews and generates PDF reports with the results. It supports analyzing single reviews, batches of reviews, and reviews for specific products.

Dependencies

• express: Web framework for building the server.
• body-parser: Middleware for parsing JSON request bodies.
• Sentiment: Library for sentiment analysis.
• PDFKit: Library for creating PDF files.
• path and fs: Node.js modules for handling file paths and filesystem operations.

Installation

1. Clone the repository:

   git clone https://github.com/alilo113/Emotional-Sentiment-Analysis-API-.git
   ## Endpoints
   

1. Analyze a Single Review

Endpoint: POST /analyze-review

Request Body:

{
  "review": "Your review text here"
}

Response:

{
  "message": "PDF created successfully.",
  "filePath": "/path/to/the/generated/pdf"
}

Description: Analyzes a single review and generates a PDF report with the sentiment analysis results.

2. Batch Analyze Reviews

Endpoint: POST /batch-analyze-reviews

Request Body:

{
  "reviews": [
    "First review text",
    "Second review text",
    "Third review text"
  ]
}

Response

{
  "message": "PDF created successfully.",
  "filePath": "/path/to/the/generated/pdf"
}

Description: Analyzes multiple reviews and generates a single PDF report containing sentiment analysis results for all reviews.

3. Analyze Reviews for a Specific Product

Endpoint: POST /analyze-product-reviews

Request Body:

{
  "productId": "product-id",
  "reviews": [
    "Review text 1",
    "Review text 2"
  ]
}

Response:

{
  "productId": "product-id",
  "results": [
    {
      "score": 1,
      "comparative": 0.5,
      "words": ["good", "excellent"],
      "positive": ["good", "excellent"],
      "negative": []
    },
    ...
  ]
}

Description: Analyzes reviews related to a specific product and returns the sentiment analysis results. This endpoint can be extended to include additional product-specific processing.