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Concept mining

Concept mining is an activity that results in the extraction of concepts from artifacts. Solutions to the task typically involve aspects of artificial intelligence and statistics, such as data mining and text mining. Because artifacts are typically a loosely structured sequence of words and other symbols (rather than concepts), the problem is nontrivial…

Applications & Art

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Overview

Methods

Applications

Advanced semantic analysis

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Map overview Semantic statistics

Concept mining

Nodes20
Edges19
Triples1
Avg. degree1.9
Density0.1
Components1

How this topic connects Entity context

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Concept mining

Top relations

is a · 1
Concept mining → activity that results in the extraction of concepts from artifacts

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

concepts concept documents text mining typically artifacts statistics techniques used document words similarity large word use may space extraction task

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Concept miningis aactivity that results in the extraction of concepts from artifacts0.90text

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

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    Min side: 3
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