| 2 |
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)
|
|
BASE
|
|
Show details
|
|
|
| 3 |
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)
|
|
BASE
|
|
Show details
|
|
|
| 4 |
An old tradition in a new space : a critical discourse analysis of YouTubers' metalinguistic commentary on Quebec French ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 5 |
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
|
|
BASE
|
|
Hide details
|
|
|
| 6 |
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)
|
|
BASE
|
|
Show details
|
|
|
| 7 |
“I don’t mix much” : language mixing in transnational Polish-British culture 2012-18
|
|
|
|
BASE
|
|
Show details
|
|
|
| 8 |
Каламбур в британских видеоблогах ; The Pun in British Youtube Blogs
|
|
|
|
BASE
|
|
Show details
|
|
|
| 9 |
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
|
|
BASE
|
|
Show details
|
|
|
| 11 |
An old tradition in a new space : a critical discourse analysis of YouTubers' metalinguistic commentary on Quebec French
|
|
|
|
BASE
|
|
Show details
|
|
|
| 12 |
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)
|
|
BASE
|
|
Show details
|
|
|
| 13 |
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)
|
|
BASE
|
|
Show details
|
|
|
| 14 |
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)
|
|
BASE
|
|
Show details
|
|
|
| 15 |
YouTube comme média politique : les différences de contenu entre interviews politiques classiques et émissions en ligne de trois représentants de La France insoumise
|
|
|
|
In: Mots. Les langages du politique, n 123, 2, 2020-07-03, pp.103-121 (2020)
|
|
BASE
|
|
Show details
|
|
|
| 16 |
Cabo de Guerra Verbal e Moral: um estudo do uso de categorias como ofensa no ambiente virtual / Verbal and Moral Tug of War: a study of the use of categories as offense in the virtual environment
|
|
|
|
In: Revista de Estudos da Linguagem, Vol 28, Iss 4, Pp 1603-1636 (2020) (2020)
|
|
BASE
|
|
Show details
|
|
|
|
|
