Multi-Dimensional Analysis - Info and Reading Options
Research Methods and Current Issues
By Tony Berber Sardinha and Marcia Veirano Pinto
"Multi-Dimensional Analysis" was published by Bloomsbury Publishing Plc in 2019, it has 278 pages and the language of the book is English.
“Multi-Dimensional Analysis” Metadata:
- Title: Multi-Dimensional Analysis
- Authors: Tony Berber SardinhaMarcia Veirano Pinto
- Language: English
- Number of Pages: 278
- Publisher: Bloomsbury Publishing Plc
- Publish Date: 2019
“Multi-Dimensional Analysis” Subjects and Themes:
- Subjects: ➤ Discourse analysis - Computational linguistics - Linguistics - Data processing - Corpora (Linguistics) - Language and languages - Variation - Oral communication - Written communication - Corpus (Linguistique) - Linguistique informatique - Variation (Linguistique) - Communication orale - Communication écrite - LANGUAGE ARTS & DISCIPLINES - Historical & Comparative
Edition Identifiers:
- The Open Library ID: OL28690322M - OL21185302W
- Online Computer Library Center (OCLC) ID: 1081339897
- Library of Congress Control Number (LCCN): 2019000280
- ISBN-13: 9781350023826
- All ISBNs: 9781350023826
AI-generated Review of “Multi-Dimensional Analysis”:
"Multi-Dimensional Analysis" Description:
The Open Library:
"Multi-dimensional Analysis: Research Methods and Current Issues provides a comprehensive guide both to the statistical methods in Multi-dimensional Analysis (MDA) and its key elements, such as corpus building, tagging, and tools. The major goal is to explain the steps involved in the method so that readers may better understand this complex research framework and conduct MD research on their own. Multi-dimensional Analysis is a method that allows the researcher to describe different registers (textual varieties defined by their social use) such as academic settings, regional discourse, social media, movies, and pop songs. Through multivariate statistical techniques, MDA identifies complementary correlation groupings of dozens of variables, including variables which belong both to the grammatical and semantic domains. Such groupings are then associated with situational variables of texts like information density, orality, and narrativity to determine linguistic constructs known as dimensions of variation, which provide a scale for the comparison of a large number of texts and registers. This book is a comprehensive research guide to MDA."--Bloomsbury Publishing.
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