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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5...230 Hits 1 – 20 of 4.599 1 Awesome forces and warning signs ; Awesome forces and warning signs: Charting the semantic history of tabu words in Vanuatu François, Alexandre In: ISSN: 0029-8115 ; EISSN: 1527-9421 ; Oceanic Linguistics ; https://halshs.archives-ouvertes.fr/halshs-03092520 ; Oceanic Linguistics, University of Hawai'i Press, 2022, 61 (1), ⟨10.1353/ol.2021.0012⟩ ; https://muse.jhu.edu/article/835779/summary (2022) BASE Show details 2 Linguistic resources for paraphrase generation in Portuguese: a Lexicon-Grammar approach Barreiro, Anabela; Mota, Cristina; Baptista, Jorge... In: ISSN: 1574-020X ; EISSN: 1574-0218 ; Language Resources and Evaluation ; https://hal.archives-ouvertes.fr/hal-03548861 ; Language Resources and Evaluation, Springer Verlag, 2022, ⟨10.1007/s10579-021-09561-5⟩ ; https://link.springer.com/article/10.1007/s10579-021-09561-5 (2022) BASE Show details 3 ELAL: An Emotion Lexicon for the Analysis of Alsatian Theatre Plays Bernhard, Delphine; Ruiz Fabo, Pablo In: Language Resources and Evaluation Conference ; https://hal.archives-ouvertes.fr/hal-03655148 ; Language Resources and Evaluation Conference, Jun 2022, Marseille, France ; https://lrec2022.lrec-conf.org/ (2022) BASE Show details 4 NomVallex 2.0 Kolářová, Veronika; Vernerová, Anna; Klímová, Jana. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2022 BASE Show details 5 Neologia Lexical em Uanhenga Xitu: Para a construção de um glossário de autor Barros, Amadeu Teófilo de. - 2022 BASE Show details 6 Pemanfaatan Bank-data Digital Dwibahasa dalam Kajian Terjemahan: Studi kasus padanan bahasa Indonesia untuk verba sinonim bahasa Inggris ROB & STEAL ... Rajeg, Gede Primahadi Wijaya; Rajeg, I Made; Kartini, Putu Dea Indah. - : figshare, 2022 BASE Show details 7 Pemanfaatan Bank-data Digital Dwibahasa dalam Kajian Terjemahan: Studi kasus padanan bahasa Indonesia untuk verba sinonim bahasa Inggris ROB & STEAL ... Rajeg, Gede Primahadi Wijaya; Rajeg, I Made; Kartini, Putu Dea Indah. - : figshare, 2022 BASE Show details 8 EXPLICIT HISTORICAL, PHONETIC, AND PHONOLOGICAL INSTRUCTION IN SECOND LANGUAGE ACQUISITION ... Stratton, James M. - : Purdue University Graduate School, 2022 BASE Show details 9 EXPLICIT HISTORICAL, PHONETIC, AND PHONOLOGICAL INSTRUCTION IN SECOND LANGUAGE ACQUISITION ... Stratton, James M. - : Purdue University Graduate School, 2022 BASE Show details 10 Paradigmatic Uniformity: Evidence from Heritage Speakers of Spanish ... Camacho, Jose. - : University of Illinois at Chicago, 2022 BASE Show details 11 Paradigmatic Uniformity: Evidence from Heritage Speakers of Spanish ... Camacho, Jose. - : University of Illinois at Chicago, 2022 BASE Show details 12 Diagnostic Accuracy of Grammatical Measures (Guo & Schneider, 2016) ... Guo, Ling-Yu; Schneider, Phyllis. - : ASHA journals, 2022 BASE Show details 13 Diagnostic Accuracy of Grammatical Measures (Guo & Schneider, 2016) ... Guo, Ling-Yu; Schneider, Phyllis. - : ASHA journals, 2022 BASE Show details 14 Onomastic Conversion - An Active Way of Making Anthroponyms ... Editor Academic Journals & Conferences. - : Open Science Framework, 2022 BASE Show details 15 Tagalog Behavioural Experiment ... Stockall, Linnaea. - : Open Science Framework, 2022 BASE Show details 16 К вопросу о формировании стилей в цахурском языке ... : To the question of the formation of styles in the Tsakhur language ... Исаева, З.Н.. - : АНО Редакция журнала "Социально-гуманитарные знания", 2022 BASE Show details 17 TERM AND CONCEPT IN LEGAL TERMINOLOGY ... Gulyamova, Gulnora. - : Academic research in educational sciences, 2022 BASE Show details 18 LEXICAL AND SEMANTIC CHARACTERISTICS OF HYPONOMIC RELATIONS AND DEEPLY ANALYZING ITS FEATURES IN ENGLISH LINGUISTUCS ... Jumaeva, Nasiba Komil Qizi. - : Academic research in educational sciences, 2022 BASE Show details 19 Lexicon-Based vs. Bert-Based Sentiment Analysis: A Comparative Study in Italian Rosario Catelli; Serena Pelosi; Massimo Esposito In: Electronics; Volume 11; Issue 3; Pages: 374 (2022) BASE Show details 20 COVID-19 Vaccination-Related Sentiments Analysis: A Case Study Using Worldwide Twitter Dataset Aijaz Ahmad Reshi; Furqan Rustam; Wajdi Aljedaani; Shabana Shafi; Abdulaziz Alhossan; Ziyad Alrabiah; Ajaz Ahmad; Hessa Alsuwailem; Thamer A. Almangour; Musaad A. Alshammari; Ernesto Lee; Imran Ashraf In: Healthcare; Volume 10; Issue 3; Pages: 411 (2022) Abstract: COVID-19 pandemic has caused a global health crisis, resulting in endless efforts to reduce infections, fatalities, and therapies to mitigate its after-effects. Currently, large and fast-paced vaccination campaigns are in the process to reduce COVID-19 infection and fatality risks. Despite recommendations from governments and medical experts, people show conceptions and perceptions regarding vaccination risks and share their views on social media platforms. Such opinions can be analyzed to determine social trends and devise policies to increase vaccination acceptance. In this regard, this study proposes a methodology for analyzing the global perceptions and perspectives towards COVID-19 vaccination using a worldwide Twitter dataset. The study relies on two techniques to analyze the sentiments: natural language processing and machine learning. To evaluate the performance of the different lexicon-based methods, different machine and deep learning models are studied. In addition, for sentiment classification, the proposed ensemble model named long short-term memory-gated recurrent neural network (LSTM-GRNN) is a combination of LSTM, gated recurrent unit, and recurrent neural networks. Results suggest that the TextBlob shows better results as compared to VADER and AFINN. The proposed LSTM-GRNN shows superior performance with a 95% accuracy and outperforms both machine and deep learning models. Performance analysis with state-of-the-art models proves the significance of the LSTM-GRNN for sentiment analysis. Keyword: COVID-19 vaccination; deep learning; healthcare; lexicon-based approaches; sentiment analysis URL: https://doi.org/10.3390/healthcare10030411 BASE Hide details Page: 1 2 3 4 5...230

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