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COVID Vaccine Sentiment Dashboard based on Twitter Data

COVID vakcina szentiment dashboard Twitter adatok alapján

Scientia et Securitas
Authors:
Ferenc Béres
,
Rita Csoma
,
Tamás Michaletzky
, and
András Benczúr

References 1 Feldman, R. (2013) Techniques and applications for sentiment analysis. Communications of the ACM, Vol. 56. No. 4. pp. 82

Open access

Gutenberg és a MOOC

Gutenberg and MOOC

Educatio
Author:
Éva Berde

Haryani, C. A., Hidayanto, A. N. & Budi, N. F. A. (2018) Sentiment Analysis of Online Auction Service Quality on Twitter Data: A Case of E-Bay. In: 2018 6th International Conference on Cyber and IT Service

Open access

. [24] Bupe C. What is the difference between knowledge based approach and machine learning approach for sentiment analysis , Answer, Quora , 2016

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not be restricted to word embeddings. Finding representations of larger text units can be useful not only at a theoretic level, as many real world applications require compact sentence or text representations, such as sentiment analysis, semantic

Open access

scientific text (Swales 1990 ). Whether this broader approach can still be called sentiment analysis, or what it should be called, is open for discussion. This paper focuses specifically on sentiments in the broad sense of attitudes and dispositions

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by an “automated sentiment analysis tool” (149) which had been previously “trained” by humans. Pondering future scenarios, Kos kinen mentions the development of affective computing and its business opportunities, artificial emotional intelligence, and

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. Dadvandipour , “ Sentiment analysis on the effect of trending source less News: special reference to the recent death of an Indian actor,” in International Conference on Artificial Intelligence and Sustainable Computing

Open access

with sentiment analysis . M.Phil. thesis . Universitat Politècnica de Catalunya – BarcelonaTech, Barcelona . Brown , Tom , Benjamin , Mann , Nick , Ryder , Melanie , Subbiah , Jared D , Kaplan , Prafulla , Dhariwal , Arvind , Neelakantan

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premier league using a sentiment analysis of twitter . Decision Support Systems , 88 , 76 – 84 . 10.1016/j.dss.2016

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is their wide range of applicability, since it can be used for practically any natural language processing task, for example machine translation, summary generation, question answering or sentiment analysis. Such large-scale experiments require

Open access