Movie Reviews Database

A full-stack web application for submitting and viewing movie reviews, with sentiment analysis powered by IBM Watson Natural Language Understanding and data storage in IBM Cloudant NoSQL DB.

Features

• Submit movie reviews with your name and the movie title
• Sentiment analysis of reviews using IBM Watson NLU
• Store and retrieve reviews from IBM Cloudant
• View all submitted reviews and their sentiment

Technologies Used

• Node.js & Express.js
• IBM Watson Natural Language Understanding
• IBM Cloudant NoSQL DB
• EJS templating
• Bulma CSS framework

Prerequisites

• Node.js (v12+ recommended)
• npm
• IBM Cloudant and IBM Watson NLU service credentials (or a .env file with the required keys)

Setup

1. Clone the repository:

   git clone https://github.com/suletetes/Movie-Reviews-Database
   cd Movie-Reviews-Database

2. Install dependencies:

   npm install

3. Configure environment variables:

   • Create a .env file in the root directory with the following content:

     NLU_APIKEY=your-ibm-watson-nlu-apikey
     NLU_URL=your-ibm-watson-nlu-url
     CLOUDANT_API=your-cloudant-apikey
     CLOUDANT_URL=your-cloudant-url

   • Alternatively, bind the required services if deploying to IBM Cloud.

4. Run the application:

   node server.js

   The app will be available at http://localhost:8080 by default.

Usage

• Visit the home page to check service status.
• Go to /reviews to view all reviews or submit a new one.
• Each review will be analyzed for sentiment (positive, negative, or neutral).

Project Structure

• server.js - Main server file
• views/ - EJS templates and static assets
• utils/strings.json - User-facing strings and error messages

Deployment

• The app can be deployed to IBM Cloud using the provided manifest.yml.
• A Dockerfile is included for containerized deployments.