Mining Concepts from texts

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6 Citations (Scopus)


The extraction of multi-word relevante xpressions has been an increasingly hot topic in the last few years. Relevant expressions are applicable in diverse areas such as Information Retrieval, document clustering, or classification and indexing of documents. However, relevant single-words, which represent much of the knowledge in texts, have been a relatively dormant field. In this paper we present a statistical language-independent approach to extract concepts formed by relevant single and multi-word units. By achieving promising precision/recall values, it can be an alternative both to language dependent approaches and to extractors that deal exclusively with multi-words.
Original languageUnknown
Title of host publicationSciVerse ScienceDirect, Procedia Computer Science
Publication statusPublished - 1 Jan 2012
EventInternational Conference on Computational Science -
Duration: 1 Jan 2012 → …


ConferenceInternational Conference on Computational Science
Period1/01/12 → …

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