Examples of using Textual data in English and their translations into Portuguese
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Colloquial
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Official
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Medicine
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Financial
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Ecclesiastic
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Ecclesiastic
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Computer
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Official/political
Mireille Akouala took up the textual data of the New Testament
systems for managing and exchanging computerized textual data.
exchanging com puterized textual data.
Set of Text Excerpts, which quantitatively analyzes textual data according to importance in the statements.
through lexical analysis of the textual data, processing the material in the software Alceste 2010.
The Alceste is a technique for analyzing textual data that allows exploring the structure
containing only reduced textual data, making difficult to get an accurate recommendation using standard techniques.
This software enables the quantitative analysis of textual data, that is, it relies on calculations made regarding co-occurrences of words in parts of texts.
the discursive textual data analysis was performed through rigorous
A massive amount of textual data, such as e-mails, reports, articles and posts in social networks
Interest falls on analyzing elements identified by Andréia Cristina Lopes Frazão da Silva as'extra-textual and textual data' from documents with which Brazilian historians work or have worked.
The analysis of textual data was performed using the software Alceste 4.7, which was discussed
Data were subjected to content analysis, which, according to, consists of the analysis of textual data in order to observe differences,
Data collection took place between the months of march and august 2015, through semi-structured interview, and the analysis of textual data followed the thematic content analysis proposed by bardin,
Text(for textual data) among others.
The content analysis is one of used methods to analyze textual data, such as those coming from interviews,
The content analysis approach proposed by involves the researcher producing a list of themes denominated“template” that is divided into categories according to which the textual data interview transcripts, direct notes, field observations, etc. will be coded and classified.
Using both numerical and textual data.
Tree more examples about textual data.
Our main field of research is the statistical processing of qualitative and textual data.