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21
Jóvenes y redes sociales: Entre la democratización del conocimiento y la inequidad digital
In: Comunicar: Revista científica iberoamericana de comunicación y educación, ISSN 1134-3478, Nº 69, 2021 (Ejemplar dedicado a: Participación ciudadana en la esfera digital), pags. 85-95 (2021)
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22
COVID-19 en YouTube:: Debates y polarización en la esfera digital
In: Comunicar: Revista científica iberoamericana de comunicación y educación, ISSN 1134-3478, Nº 69, 2021 (Ejemplar dedicado a: Participación ciudadana en la esfera digital), pags. 9-19 (2021)
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23
La percepción de padres e hijos sobre la publicidad en redes sociales
In: Comunicar: Revista científica iberoamericana de comunicación y educación, ISSN 1134-3478, Nº 67, 2021, pags. 99-109 (2021)
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24
SWEARING WORDS ON YOUTUBE COMMENT COLUMN IN CNN POLITICAL NEWS
In: Language Literacy: Journal of Linguistics, Literature, and Language Teaching, Vol 5, Iss 1, Pp 90-94 (2021) (2021)
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25
“O tolo fala. O sábio escuta”: ironia e provérbios em prol da persuasão
In: Fórum Linguístico, Vol 18, Iss 2 (2021) (2021)
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26
Modalités syntaxiques et argumentatives du discours homophobe en ligne : chroniques de la haine ordinaire
In: Mots. Les langages du politique, n 125, 1, 2021-02-15, pp.35-51 (2021)
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27
Youtube
Brand, Tilman von (Herausgeber). - Hannover : Friedrich, 2020
UB Frankfurt Linguistik
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28
Where lol is: function and position of lol used as a discourse marker in YouTube comments
In: ISSN: 1963-1723 ; Discours - Revue de linguistique, psycholinguistique et informatique ; https://hal.archives-ouvertes.fr/hal-03048148 ; Discours - Revue de linguistique, psycholinguistique et informatique, Laboratoire LATTICE, 2020 ; https://journals.openedition.org/discours/10900 (2020)
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29
Les modalités linguistiques du commentaire sur internet comme prise de position (« stance-taking »): l’exempledes commentaires sur YouTube
In: ISSN: 2033-7752 ; EISSN: 2033-7752 ; Le Discours et la Langue Revue de linguistique française et d'analyse du discours ; https://halshs.archives-ouvertes.fr/halshs-01811978 ; Le Discours et la Langue Revue de linguistique française et d'analyse du discours, Editions modulaires européennes, 2020, Le commentaire, du manuscrit à la toile, 11.2 ; https://www.eme-editions.be/index.asp?navig=catalogue&obj=numero&no=65352&no_revue=913&razSqlClone=1 (2020)
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30
An old tradition in a new space : a critical discourse analysis of YouTubers' metalinguistic commentary on Quebec French ...
Mayne, Elizabeth Anne. - : The University of Texas at Austin, 2020
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31
Opinion-Mining on Marglish and Devanagari Comments of YouTube Cookery Channels Using Parametric and Non-Parametric Learning Models
In: Big Data and Cognitive Computing ; Volume 4 ; Issue 1 (2020)
Abstract: YouTube is a boon, and through it people can educate, entertain, and express themselves about various topics. YouTube India currently has millions of active users. As there are millions of active users it can be understood that the data present on the YouTube will be large. With India being a very diverse country, many people are multilingual. People express their opinions in a code-mix form. Code-mix form is the mixing of two or more languages. It has become a necessity to perform Sentiment Analysis on the code-mix languages as there is not much research on Indian code-mix language data. In this paper, Sentiment Analysis (SA) is carried out on the Marglish (Marathi + English) as well as Devanagari Marathi comments which are extracted from the YouTube API from top Marathi channels. Several machine-learning models are applied on the dataset along with 3 different vectorizing techniques. Multilayer Perceptron (MLP) with Count vectorizer provides the best accuracy of 62.68% on the Marglish dataset and Bernoulli Naï ; ve Bayes along with the Count vectorizer, which gives accuracy of 60.60% on the Devanagari dataset. Multilayer Perceptron and Bernoulli Naï ; ve Bayes are considered to be the best performing algorithms. 10-fold cross-validation and statistical testing was also carried out on the dataset to confirm the results.
Keyword: bernoulli naïve bayes; count vectorizer; cross-validation; devanagari; logistic regression; marglish; sentiment analysis; statistical testing; TF-IDF vectorizer; YouTube
URL: https://doi.org/10.3390/bdcc4010003
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32
Tagungsbericht: Workshop: Wie riecht das Frühjahr? Invektive Dynamiken digitaler Bildkommunikation als Herausforderung für die qualitative Sozialforschung
In: Forum Qualitative Sozialforschung / Forum: Qualitative Social Research ; 21 ; 3 ; 19 (2020)
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33
“I don’t mix much” : language mixing in transnational Polish-British culture 2012-18
Finer, Emily. - 2020
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34
Каламбур в британских видеоблогах ; The Pun in British Youtube Blogs
Britvenkova, E.; Бритвенкова, Е. А.. - : Издательство Уральского университета, 2020
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35
O gênero vídeoaula: deslocamentos e manutenções na cibercultura ; The genre videoclass: displacements and maintenance in cyberculture
Oliveira, Luma Dittrich de. - : Universidade Tecnológica Federal do Paraná, 2020. : Curitiba, 2020. : Brasil, 2020. : Programa de Pós-Graduação em Estudos de Linguagens, 2020. : UTFPR, 2020
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36
Die italienische Sprache in YOUTUBE?! #Instagram
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37
An old tradition in a new space : a critical discourse analysis of YouTubers' metalinguistic commentary on Quebec French
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38
La mujer en YouTube: Representación y participación a través de la técnica Web Scraping
In: Comunicar: Revista científica iberoamericana de comunicación y educación, ISSN 1134-3478, Nº 63, 2020, pags. 31-40 (2020)
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39
El rendimiento escolar: Nuevos recursos multimedia frente a los apuntes tradicionales
In: Comunicar: Revista científica iberoamericana de comunicación y educación, ISSN 1134-3478, Nº 64, 2020, pags. 39-48 (2020)
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40
Competencia digital y mediática de sinohablantes en el aprendizaje del español: estudio de caso de un nuevo perfil de aprendices
In: Onomázein: Revista de lingüística, filología y traducción de la Pontificia Universidad Católica de Chile, ISSN 0717-1285, Nº. 47, 2020, pags. 80-96 (2020)
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