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Figure 1 An overview of the text mining methodology.
Through the intentionally naïve reading and rereading of the text an initial overview of the text as a whole and an interconnected understanding of the meaning embedded in the text was created.
The intentionally naïve reading of the text creating an overview of the text as a whole and an interconnected understanding of the content, showed that although individually expressed all women had experienced symptoms, which were independently associated with ovarian cancer such as abdominal distension, increased urinary frequency and abdominal pain, before health seeking.
An overview of the text's structure is encapsulated in a graphic shown at the top of the main page for each chapter.
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Table 3 gives an overview of the number of text passages per context factors, with each passage either supporting or opposing a factor.
The mapping reported in this paper was conducted with the general goal of providing an overview of the researches developed by the text mining community and that are concerned about text semantics.
Educational hypertexts usually include graphical overviews, conveying the structure of the text schematically with the aim of fostering comprehension.
A fully referenced overview of definitions, text passages, and figures of the TCDs, employed to deter WWD in all MUTCD versions, will be given to characterize the changes over time.
We have made a number of changes in response to these comments and questions: In the first two paragraphs of the Results and Discussion, we have substantially expanded our text providing an overview of the experiment and we have added text and data (visual body score data collected during the experiment) to estimate stages of decomposition.
Steinkellner and Much (1995) gives an overview of the Sanskrit and Tibetan texts, critical editions, and modern translations of the works of Dharmakīrti and his commentators.
This paper reports a systematic mapping study conducted to get a general overview of how text semantics is being treated in text mining studies.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com