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Website tentang Analisis Sentimen dengan algoritma Naive Bayes. Website memiliki halaman resource, preprocessing, sentiment analysis, vectorizer, dan confusion matrix.

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Akbarwp/Laravel-BigData

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Laravel Big Data

Laravel Big Data is a website designed for sentiment analysis on reviews of the PLN Mobile application using Naive Bayer method. With features like Vectorizer and Confusion Matrix, this site enables users to understand and analyze user sentiments towards the application through structured data. The interactive interface and advanced analysis tools assist users in evaluating the quality of reviews and accurately identifying sentiment trends. The data used was obtained from the Kaggle website related to user reviews of the PLN Mobile application on Google Play. The data used can be accessed at the following link Kaggle PLN Mobile

Tech Stack

Features

  • Main features available in this application:
    • Sentiment Analysis
    • Vectorizer
    • Confusion Matrix

Installation

Follow the steps below to clone and run the project in your local environment:

  1. Clone repository:

    git clone https://github.com/Akbarwp/Laravel-BigData.git
  2. Install dependencies use Composer and NPM:

    composer install
    npm install
  3. Copy file .env.example to .env:

    cp .env.example .env
  4. Generate application key:

    php artisan key:generate
  5. Setup database in the .env file:

    DB_CONNECTION=mysql
    DB_HOST=127.0.0.1
    DB_PORT=3306
    DB_DATABASE=laravel_bigdata
    DB_USERNAME=root
    DB_PASSWORD=
    
  6. Run migration database:

    php artisan migrate
  7. Run website:

    npm run dev
    php artisan serve

Screenshot

  • Dashboard

Halaman Dashboard

  • Resource page

Halaman Resource

  • Prepocessing page

Halaman Prepocessing

  • Sentiment Analysis page

Halaman Sentiment Analysis

  • Vectorizer page

Halaman Vectorizer

  • Confusion Matrix page

Halaman Confusion Matrix

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Website tentang Analisis Sentimen dengan algoritma Naive Bayes. Website memiliki halaman resource, preprocessing, sentiment analysis, vectorizer, dan confusion matrix.

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