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Natural Language Processing (NLP) uses previously defined models for knowledge extraction such as syntactics (sentence structure) and ontologies; structured vocabularies and pre-defined rules describing term definitions within the community using the vocabulary. RefViz uses statistical methods to define mathematically the terms that represent the key concepts. These methods include assessment of term frequency and distribution, as well as their associations with other terms. RefViz does not require predefined rules since the rules are extracted on the fly within the context of the current document set thus ensuring an unbiased view of the information and the ability to analyse references from any field of research.
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