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semantic-enrichment

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text2graphs

neostrange / text2graphs

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A Python framework for automating domain-agnostic and domain-specific Knowledge Graphs from unstructured text. Integrates NLP and Neo4j for entity extraction, relationship mapping, and semantic enrichment. Ideal for text mining and analytics, with support for temporal and event tagging.

nlp text-mining neo4j text-analytics event-extraction entity-extraction text-representation labeled-property-graph semantic-enrichment knoweldge-graph graph-based-text-analytics automated-kg-construction graph-based-nlp
  • Updated Sep 13, 2024
  • Jupyter Notebook

rajesvariparasa / semantic-enrichment-for-semantic-image-segmentation

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This codebase is actively being developed as part of my master's thesis on Knowledge-based semantic enrichment for semantic image segmentation for the task of land cover classification.

computer-vision deep-learning cnn pytorch autoencoder pretrained-models semantic-segmentation earth-observation remotesensing unet-image-segmentation landcover-classification semantic-enrichment dual-task-pretraining
  • Updated Nov 7, 2024
  • Jupyter Notebook

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