Automatic extraction of concepts from texts

The extraction of relevant terms from texts is an extensively researched task in Text-Mining. Relevant terms have been applied in diverse areas such as Information Retrieval or document clustering and classification. Relevance has however a rather fuzzy nature since the classification of some terms as relevant or not relevant is not consensual. Concepts on the other hand have a less fuzzy nature. Instead of inferring the importance of a term during the extraction process as is usually done it is proposed to focus on the extraction of generic concepts from texts and leave the decision about relevance to downstream applications. This book therefore presents ConceptExtractor a statistical and language-independent methodology. Concepts extracted by this method can be used to identify keywords in documents or to extract semantic relations from texts among other possible applications.