ARCTags
The two focused topics of Technology and Sports illustrate some of the conceptual features of ARC Tagging: propagation of secondary tags – Sub-categories & facets; entangled/correlated data for creation of token vocabularies; creation of a knowledge graph based on a Topic Taxonomy environment and Metadata Tagging for fine-tuning of targeted datasets. Our ARCTags will support Topic Modelling & Semantic Clustering for refinement of our Taxonomy.
Topic: technology
This feature highlights the creation of the second layer (Tier 2) of the Propagation of Secondary Tags – Sub-Categories & Facets. Also showcases the Token Datasets and Usage Counts and ARCTag Statistics generated.
- Technology
- General Technology
- Medical Technology
- Mechanical Engineering
- Civil Engineering
- Electrical Engineering
- Chemical Technology
- Metallurgy
- Mining and Quarrying
- Manufacturing
- Construction
- Software Engineering
- Computer Science
- AI and Machine Learning
- Deep Learning
- Neural Networks
- Reinforcement Learning
- Supervised Learning
- Unsupervised Learning
- Natural Language Processing
- Computer Vision
- Predictive Analytics
- Bayesian Networks
- Expert Sytems
- Genetic Algorithms
- AI Ethics
- Robotics
- Cybersecurity
- Networking
- Data Science
- Cloud Computing
- Internet Of Things
- Augmented Reality
- Virtual Reality
- Blockchain
- Quantum Computing
Token Dataset & Usage Counts
Subtopic | Path | #Sites/Tokens |
---|---|---|
Deep Learning | Technology > AI & Machine Learning > Deep Learning | 490 |
Neural Networks | Technology > AI & Machine Learning > Neural Networks | 480 |
Reinforcement Learning | Technology > AI & Machine Learning > Reinforcement Learning | 470 |
Supervised Learning | Technology > AI & Machine Learning > Supervised Learning | 460 |
Unsupervised Learning | Technology > AI & Machine Learning > Unsupervised Learning | 450 |
Natural Language | Technology > AI & Machine Learning > Natural Language | 440 |
Computer Vision | Technology > AI & Machine Learning > Computer Vision | 430 |
Predictive Analytics | Technology > AI & Machine Learning > Predictive Analytics | 420 |
Bayesian Networks | Technology > AI & Machine Learning > Bayesian Networks | 410 |
Expert System | Technology > AI & Machine Learning > Expert System | 400 |
Generic Algorithms | Technology > AI & Machine Learning > Generic Algorithms | 390 |
AI Ethics | Technology > AI & Machine Learning > AI Ethics | 380 |
ARCTag Statistics
ARCTag Count: 11, 724
Post Count: 5, 432
Active Categories: 25 + 12 subtopics
Top Category: Deep Learning (490 tokens)
Topic: sports
This is a full depth illustration of “Propagation of the Sub-categories & Facet” creation. Starts with Cricket, Team Selection, Spin Bowler Selection all the way down to Pressure Application. Notice the surgical precision, it’s unparalleled.
- Sports
- Cricket
- Team Selection
- Spin Bowler Selection
- Slow Right Arm
- Top Spinner
- Grip Techniques
- Drift Control
- Seam Position
- Finger Placement
- Middle Finger
- Pressure Application
- Middle Finger
- Finger Placement
- Seam Position
- Drift Control
- Grip Techniques
- Top Spinner
- Slow Right Arm
- Spin Bowler Selection
- Team Selection
- Cricket
Token Dataset & Usage Counts
Token | Occurrences | Sites |
---|---|---|
Spin Bowler Selection | 2800 | 1500 |
Slow Right Arm | 2400 | 1300 |
Top Spinner | 2000 | 1100 |
Grip Techniques | 1800 | 900 |
Drift Control | 1600 | 800 |
Seam Position | 1400 | 700 |
Finger Placement | 1200 | 600 |
Middle Finger | 1000 | 500 |
Pressure Application | 800 | 400 |
ARCTag statistics
ARCTag count: 6, 575
Post Count: 41, 608