Generate a Word Cloud

Prompt

Prompt Name: Wordcloud for GraphLMS.

Generate a list of the 100 most important concepts used
in a book on creating an AI-based learning management system (LMS) using a graph
database.  The graph databases is an LPG database that uses Cypher.
The focus of this LMS is real-time hyper-personalized
content for each student based on their needs.
This book covers how to use a graph database that
personalized lesson plans, animations, simulations and concent
for each student in real-time.  It generates simulations using
JavaScript libraries such as p5.js and vis.js.  The graph contains
information about courses, students, assignments, lesson plans, assessments
and the key relationships between the entities stored in learning management
systems.  The book teaches how to setup and build these LMS systems
and use LLMs, vector stores, similarity, RAG and GraphRAG to
generate learning content.

For each concept, return a short label and number from 1 to 100 that
indicates how often this term would be used in the book.  Return
the list in frequency of use from highest use to lowest use in
the book.  This list will be used to generate a word-cloud.

Response

Graph Database - 100
Learning Management System - 99
Personalization - 98
Student - 97
Content - 96
Real-Time - 95
Lesson Plan - 94
Simulation - 93
JavaScript - 92
p5.js - 91
vis.js - 90
Course - 89
Assignment - 88
Assessment - 87
LLM (Large Language Model) - 86
Vector Store - 85
Similarity - 84
RAG (Retrieval Augmented Generation) - 83
GraphRAG - 82
Node - 81
Edge - 80
Relationship - 79
Hyper-Personalization - 78
Data Visualization - 77
Interactive Simulation - 76
User Interface - 75
Machine Learning - 74
Artificial Intelligence - 73
Adaptive Learning - 72
Knowledge Graph - 71
Data Modeling - 70
Querying - 69
Neo4j - 68
Graph Traversal - 67
Backend Development - 66
Frontend Development - 65
Programming - 64
Data Storage - 63
Student Engagement - 62
Feedback Loop - 61
Learning Analytics - 60
Content Generation - 59
Code Examples - 58
Curriculum Design - 57
Learning Objectives - 56
Educational Technology - 55
Student Performance - 54
Skill Mapping - 53
Learning Pathways - 52
User Experience (UX) - 51
API (Application Programming Interface) - 50
Scalability - 49
Security - 48
Data Privacy - 47
Web Development - 46
Database Management - 45
Data Structures - 44
Cloud Computing - 43
Integration - 42
Learning Outcomes - 41
Student Progress - 40
Dynamic Content - 39
Content Delivery - 38
Software Architecture - 37
Version Control - 36
Continuous Integration - 35
Testing - 34
Debugging - 33
Error Handling - 32
Best Practices - 31
Collaboration - 30
Data Ingestion - 29
Data Preprocessing - 28
Data Analysis - 27
Predictive Modeling - 26
Natural Language Processing - 25
Knowledge Representation - 24
Ontologies - 23
Semantic Web - 22
Cypher - 21
LPG - 20
Educational Standards - 19
Compliance - 18
Accessibility - 17
Mobile Learning - 16
Responsive Design - 15
Cross-Platform Development - 14
User Authentication - 13
Authorization - 12
Session Management - 11
WebSockets - 10
RESTful APIs - 9
HTTP Requests - 8
Asynchronous Programming - 7
Dependency Management - 6
Package Management - 5
Deployment Strategies - 4
Containerization - 3
Microservices - 2
Edge Computing - 1

Wordcloud Prompt

Now create a HTML page that displays this in a word cloud using the wordcloud2 JavaScript library.

Wordcloud Response

ChatGPT o1-preview Thought for 30 seconds

Sure! Below is an HTML page that uses the wordcloud2.js library to display the word cloud based on your list of concepts and their frequencies:

<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <title>Word Cloud for AI-Based LMS Book</title>

    <script src="https://cdnjs.cloudflare.com/ajax/libs/wordcloud2.js/1.1.0/wordcloud2.min.js"></script>
    <style>
        body {
            font-family: Arial, sans-serif;
            text-align: center;
        }
        #word-cloud {
            width: 100%;
            height: 600px;
            margin: 0 auto;
            border: 1px solid #ccc;
        }
    </style>
</head>
<body>

<h1>Word Cloud for AI-Based LMS Book</h1>
<div id="word-cloud"></div>

<script>
    var words = [
        ['Graph Database', 100],
        ['Learning Management System', 99],
        ['Personalization', 98],
        ['Student', 97],
        ['Content', 96],
        ['Real-Time', 95],
        ['Lesson Plan', 94],
        ['Simulation', 93],
        ['JavaScript', 92],
        ['p5.js', 91],
        ['vis.js', 90],
        ['Course', 89],
        ['Assignment', 88],
        ['Assessment', 87],
        ['LLM (Large Language Model)', 86],
        ['Vector Store', 85],
        ['Similarity', 84],
        ['RAG (Retrieval Augmented Generation)', 83],
        ['GraphRAG', 82],
        ['Node', 81],
        ['Edge', 80],
        ['Relationship', 79],
        ['Hyper-Personalization', 78],
        ['Data Visualization', 77],
        ['Interactive Simulation', 76],
        ['User Interface', 75],
        ['Machine Learning', 74],
        ['Artificial Intelligence', 73],
        ['Adaptive Learning', 72],
        ['Knowledge Graph', 71],
        ['Data Modeling', 70],
        ['Querying', 69],
        ['Neo4j', 68],
        ['Graph Traversal', 67],
        ['Backend Development', 66],
        ['Frontend Development', 65],
        ['Programming', 64],
        ['Data Storage', 63],
        ['Student Engagement', 62],
        ['Feedback Loop', 61],
        ['Learning Analytics', 60],
        ['Content Generation', 59],
        ['Code Examples', 58],
        ['Curriculum Design', 57],
        ['Learning Objectives', 56],
        ['Educational Technology', 55],
        ['Student Performance', 54],
        ['Skill Mapping', 53],
        ['Learning Pathways', 52],
        ['User Experience (UX)', 51],
        ['API', 50],
        ['Scalability', 49],
        ['Security', 48],
        ['Data Privacy', 47],
        ['Web Development', 46],
        ['Database Management', 45],
        ['Data Structures', 44],
        ['Cloud Computing', 43],
        ['Integration', 42],
        ['Learning Outcomes', 41],
        ['Student Progress', 40],
        ['Dynamic Content', 39],
        ['Content Delivery', 38],
        ['Software Architecture', 37],
        ['Version Control', 36],
        ['Continuous Integration', 35],
        ['Testing', 34],
        ['Debugging', 33],
        ['Error Handling', 32],
        ['Best Practices', 31],
        ['Collaboration', 30],
        ['Data Ingestion', 29],
        ['Data Preprocessing', 28],
        ['Data Analysis', 27],
        ['Predictive Modeling', 26],
        ['Natural Language Processing', 25],
        ['Knowledge Representation', 24],
        ['Ontologies', 23],
        ['Semantic Web', 22],
        ['Cypher', 21],
        ['LPG (Labeled Property Graph)', 20],
        ['Educational Standards', 19],
        ['Compliance', 18],
        ['Accessibility', 17],
        ['Mobile Learning', 16],
        ['Responsive Design', 15],
        ['Cross-Platform Development', 14],
        ['User Authentication', 13],
        ['Authorization', 12],
        ['Session Management', 11],
        ['WebSockets', 10],
        ['RESTful APIs', 9],
        ['HTTP Requests', 8],
        ['Asynchronous Programming', 7],
        ['Dependency Management', 6],
        ['Package Management', 5],
        ['Deployment Strategies', 4],
        ['Containerization', 3],
        ['Microservices', 2],
        ['Edge Computing', 1]
    ];

    WordCloud(document.getElementById('word-cloud'), {
        list: words,
        gridSize: 8,
        weightFactor: function (size) {
            return (size / 100) * 50; // Adjust the multiplier for size scaling
        },
        fontFamily: 'Times, serif',
        color: 'random-dark',
        backgroundColor: '#f0f0f0',
        rotateRatio: 0.5,
        rotationSteps: 2,
        shuffle: true,
        drawOutOfBound: false
    });
</script>

</body>
</html>
`

Instructions:

Save the Code: Copy the above code into a text editor and save it with a .html extension, for example, wordcloud.html.
Open in Browser: Open the saved HTML file in a modern web browser (e.g., Chrome, Firefox, Edge).
View the Word Cloud: The page will display a word cloud where each word's size corresponds to its frequency.

Notes:

The wordcloud2.js library is included via a CDN link for ease of use.
Ensure you have an active internet connection to load the library from the CDN.
You can adjust the weightFactor function in the script to scale the word sizes as desired.
The gridSize parameter affects the gap between words; smaller values result in a tighter layout.

Example Screenshot:

(Note: Replace with actual screenshot if needed.)

Feel free to customize the styling and parameters to better suit your preferences!