Sentence examples for computational text from inspiring English sources

It processes these raw data inputs and outputs a variety of datasets for quantitative analysis, including time series methods, Standard and Multi Reference Publication Year Spectroscopy, computational text analysis (e.g. topic modeling, burst analysis), and network analysis (including multi-mode, multi-level, and longitudinal networks).

Computational text analytics software was used to analyse all health services abstracts in the database PubMed since 1986.

Ideally, a plain text version should be available as well (e.g., TXT), to facilitate computational reuse and integration (e.g., computational text mining for knowledge extraction).

The field of computational text analytics offers new opportunities to scrutinise how growing disciplines such as health services research construct nursing identity.

Computational text analytics allows the analyst to quantify the content of a large qualitative dataset but it is less helpful in understanding how such constructs came about.

The field of computational text analytics, designed for the surveillance of large qualitative datasets, offers new opportunities for nursing to scrutinise and regulate how its identity is constructed in large research and other databases.

The same proviso was made by Errami and Garner [76], who used a computational text-searching algorithm to identify "duplicate publications" and "plagiarism" in abstracts cited by PubMed.

To supplement these data, we employed several computational text-mining tools that were originally developed for the Human Metabolome Database and subsequently used in the determination of the human cerebrospinal fluid metabolome [15].

As responses to the open-ended survey question typically ranged from one to several sentences, the computational linguistics text mining tool simplified the creation of broad sets of categories across responses.

We agree with the reviewers' comments and we have included this section in the section describing the computation models in the Methods part of the main text ("Computational models" section).

Knowledge-based techniques have been applied successfully for many computational tasks including text interpretation and cognitive robotics.