Automatic extraction of concepts from texts

Focusing on the extraction of generic concepts rather than relevant terms, this book introduces ConceptExtractor, a statistical and language-independent methodology. By shifting the emphasis from term relevance—which can be subjective—to concept extraction, the approach allows for more consistent identification of keywords and semantic relations in texts. This method is applicable in various fields, enhancing tasks like information retrieval and document classification, while addressing the inherent fuzziness of term relevance in text-mining research.