Sentence examples for language dataset from inspiring English sources

Leximancer 'learns' from an uploaded language dataset to create a network of such concepts.

In this language dataset, there are 38,903 instances of concepts in 9,769 distinct text blocks.

In a sentence, concept mapping in Leximancer is about understanding semantic relationships within the entire network of concepts that exist in a language dataset.

The software produces a concept map that visually represents the relative frequency of concepts in the language dataset and their overall contextual proximity i.e. their nearness to one another when all concepts are considered.

NHS Choices language Dataset (2011/2012): NHS Choices is a national website which provides information on health services and general practices in England for patients and the general public (http://www.nhs.uk/ ).uk/

However, there has not yet been an application of Leximancer to the corpus of health service research abstracts, although the software offers a novel technique for mapping this large language dataset.

Both the ACTS Burdens and ACTS Benefits scales consistently satisfied traditional reliability and validity criteria across multiple language datasets, supporting it as a clinically useful patient-reported instrument of satisfaction with anticoagulant treatment in clinical trials.

In adopting this approach, our analysis of the dataset constitutes a major advance on previous studies, which rely either on data available in English-language sources (which present fewer problems than a Chinese-language dataset) or are restricted to a single, and thus limited, dictionary of Mandarin terms.

We excluded international holidays that were unlikely to have a large impact on media coverage in our English-language dataset (e.g., Chinese New Year).

These findings indicate overall consistency and reliability across languages, datasets, and variations of the technique.

The infomap algorithm was used for community detection, available in the IGraph package of the R language; this dataset also was used to simulate various communities each time when the infomap community-detection algorithm was run on this.