Word Clouds to Knowledge Graphs: The NLP Grind Developers Actually Need
Word clouds look cool in demos, but they're NLP fool's gold. Here's the cynical roadmap from fluff to graphs that actually power apps.
⚡ Key Takeaways
- Progress from word clouds to knowledge graphs adds real structure to NLP, turning visuals into queryable systems.
- Co-occurrence graphs bridge simple stats to semantic power, exportable to tools like Neo4j.
- Skeptical edge: This repackages old semantic web ideas, but LLMs make it practical now — graphs will verify AI hype.
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Originally reported by Towards AI