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Parler comme jamais. La langue, ce qu'on croit et ce qu'on en sait
Véron, Laélia; Candea, Maria. - : HAL CCSD, 2021. : Le Robert / Binge audio, 2021
In: https://hal.archives-ouvertes.fr/hal-03377078 ; Le Robert / Binge audio, 2021, 9782321016687 (2021)
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2
The Challenges of Digital Diplomacy in the Era of Globalization: The Case of the United Arab Emirates
In: International Journal of Communication; Vol 15 (2021); 19 ; 1932-8036 (2021)
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3
Exploiting BERT and RoBERTa to Improve Performance for Aspect Based Sentiment Analysis
Narayanaswamy, Gagan Reddy. - : Technological University Dublin, 2021
In: Dissertations (2021)
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4
Distinguishing fake and real news of twitter data with the help of machine learning techniques
Shah, Aanan. - : Laurentian University of Sudbury, 2021
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5
Using language models for holistic language variety comparisons ...
McNeill, Joshua. - : Open Science Framework, 2021
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6
Orthographic variation of (lol) on Twitter ...
McNeill, Joshua. - : Open Science Framework, 2021
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7
Tweeting on dementia: A snapshot of the content and sentiment of tweets associated with dementia
In: First Monday; Volume 26, Number 6 - 7 June 2021 ; 1396-0466 (2021)
Abstract: This study aimed to record and characterise tweets related to dementia, to investigate their content and sentiment. Data were extracted from Twitter over a period of six weeks during February and March 2019 and then analysed using Linguistic Inquiry and Word Count (LIWC) and AntWordProfiler. Using five search terms related to dementia, this study collected 860,383 tweets (more than 27 million words). Results have shown that out of all the collected tweets, 48.63 percent of tweets related to the search term ‘dementia’, 49.95 percent to ‘Alzheimer’s disease’ and the remainder related to frontotemporal dementia, Lewy Body dementia and vascular dementia. People wrote more positively and personally about the term ‘dementia’ than the other terms, and more technically regarding the term ‘Alzheimer’s disease’. All search terms had a negative emotional tone overall. Dementia and related terms are commonly discussed on Twitter. The overall negative emotional tone associated with all dementia related search terms suggests that dementia is still largely stigmatised and talked about negatively. Recommendations for future research include the development of a health world list or a dementia world list, and to consider how the results of this research inform social change interventions going forwards.
Keyword: dementia; nurse; nursing; social media; text analysis; twitter
URL: https://journals.uic.edu/ojs/index.php/fm/article/view/10452
https://doi.org/10.5210/fm.v26i7.10452
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8
Narrativised simile and emotional responses to Brexit
In: Russian Journal of Linguistics, Vol 25, Iss 3, Pp 663-684 (2021) (2021)
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9
“You’re too thick to change the station” – Impoliteness, insults and responses to insults on Twitter
In: Topics in Linguistics, Vol 22, Iss 2, Pp 62-84 (2021) (2021)
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10
Implicit vs explicit evaluation: How English-speaking Twitter users discuss migration problems
In: Russian Journal of Linguistics, Vol 25, Iss 1, Pp 105-124 (2021) (2021)
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11
eterna regularidad de los participios
In: Domínios de Lingu@gem, Vol 16, Iss 2, Pp 843-869 (2021) (2021)
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12
Spanish politicians in Twitter: A linguistic analysis of their written discourse
In: Ibérica, Vol 40, Iss 1, Pp 195-216 (2021) (2021)
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13
Construcción de la imagen colectiva de grupos a favor del Acuerdo de paz de Colombia en Twitter / Construction of the collective image of groups in favor of the Colombian peace agreement on Twitter
In: Revista de Estudos da Linguagem, Vol 29, Iss 4, Pp 2225-2257 (2021) (2021)
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14
Monitoring Users’ Behavior: Anti-Immigration Speech Detection on Twitter
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15
Independent Component Analysis for Trustworthy Cyberspace during High Impact Events: An Application to Covid-19 ...
Boukouvalas, Zois; Mallinson, Christine; Crothers, Evan. - : Maryland Shared Open Access Repository, 2020
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Temporally-Informed Analysis of Named Entity Recognition ...
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Temporally-Informed Analysis of Named Entity Recognition ...
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Mapping the languages of Twitter in Finland: richness and diversity in space and time ...
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Mapping the languages of Twitter in Finland: richness and diversity in space and time ...
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A large-scale COVID-19 Twitter chatter dataset for open scientific research - an international collaboration ...
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