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An NLP pipeline for extracting entities and topics from unstructured data, utilizing Formal Concept Analysis (FCA) for data aggregation and visualization.
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The project combines standard NLP tasks (NER, clustering) with Formal Concept Analysis (FCA). While the application of FCA to topic modeling is mathematically interesting, the project has negligible adoption (2 stars), no community activity for over 500 days, and its core capabilities are now easily replicated or exceeded by standard LLM prompts and embeddings.
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cli_tool
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