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MCD (LOS MARCADORES DISCURSIVOS) The pragmatic analysis of discourse markers (The argumentative texts of the ABC newspaper as a model): El análisis pragmático de los marcadores discursivos (Los textos argumentativos del periódico ABC como modelo)
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When writing a text, such as a newspaper article, various types of discourse markers are frequently used to group sentences into paragraphs and parts in order to establish a discourse with certain functions, such as coordination, orientation, emphasizing the concepts presented, etc. It should also be noted that this type of mark exists in both written and spoken language. Therefore, it is convenient to dedicate a chapter to these linguistic elements to clarify their use and their classification, which is mainly based on Jose Portolés (2001), as well as the main features, specifically their features (prosodic, morphological, semantic and pragmatic).

Resumen

Al redactar un texto، como un artículo de periódicos، se utilizan con frecuencia varios tipos de MCD (los marcadores discursivos) para agrupar las oraciones en párrafos y secciones con el fin de establecer un discurso con discuencia varios tipos de MCD (los marcadores discursivos) para agrupar las oraciones en párrafos y secciones con el fin de establecer un discurso con selectaro or funciones، com. المفاهيم الحالية ، وما إلى ذلك. Por tanto، conviene dedicar un capítulo a estos elementos lingüísticos para aclarar su uso y su clasificación que se basa Principmente en Portolés (2001)، ademas los rasgos Principales، en concreto sus rasgos (prosódicos، morfolótic yos). Palabras claves : los marcadores discursivos ، analisis pragmatico ، texto مناقشة

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Publication Date
Fri Apr 01 2022
Journal Name
Baghdad Science Journal
Tourism Companies Assessment via Social Media Using Sentiment Analysis
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In recent years, social media has been increasing widely and obviously as a media for users expressing their emotions and feelings through thousands of posts and comments related to tourism companies. As a consequence, it became difficult for tourists to read all the comments to determine whether these opinions are positive or negative to assess the success of a tourism company. In this paper, a modest model is proposed to assess e-tourism companies using Iraqi dialect reviews collected from Facebook. The reviews are analyzed using text mining techniques for sentiment classification. The generated sentiment words are classified into positive, negative and neutral comments by utilizing Rough Set Theory, Naïve Bayes and K-Nearest Neighbor

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Thu Jun 01 2023
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Thu Jan 30 2020
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Publication Date
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Publication Date
Tue Jan 01 2019
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Publication Date
Fri Jan 23 2026
Journal Name
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Evaluation of shear bond strength between thermosens as relining material and different denture base materials
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Publication Date
Thu Dec 07 2017
Journal Name
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Wed Feb 01 2017
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