Financial Sentiment Analysis on Twitter During Covid-19 Pandemic in the UK

Oluwamayowa Ashimi; Amna Dridi; Edlira Vakaj

doi:10.1007/978-3-031-36258-3_33

Financial Sentiment Analysis on Twitter During Covid-19 Pandemic in the UK

Oluwamayowa Ashimi, Amna Dridi, Edlira Vakaj

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Original language	English
Title of host publication	Advances on Intelligent Computing and Data Science
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	379-389
Number of pages	11
DOIs	https://doi.org/10.1007/978-3-031-36258-3_33 https://doi.org/10.1007/978-3-031-36258-3_33
Publication status	Published (VoR) - 17 Aug 2023

Publication series

Name	Lecture Notes on Data Engineering and Communications Technologies
Publisher	Springer

Keywords

Financial sentiment analysis
Covid-19
Deep learning

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http://www.icaci-conf.com/ICACIN22/

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Ashimi, O., Dridi, A., & Vakaj, E. (2023). Financial Sentiment Analysis on Twitter During Covid-19 Pandemic in the UK. In Advances on Intelligent Computing and Data Science (pp. 379-389). (Lecture Notes on Data Engineering and Communications Technologies). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-36258-3_33, https://doi.org/10.1007/978-3-031-36258-3_33

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title = "Financial Sentiment Analysis on Twitter During Covid-19 Pandemic in the UK",

keywords = "Financial sentiment analysis, Covid-19, Deep learning",

author = "Oluwamayowa Ashimi and Amna Dridi and Edlira Vakaj",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.",

year = "2023",

month = aug,

day = "17",

doi = "10.1007/978-3-031-36258-3_33",

language = "English",

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Ashimi, O, Dridi, A & Vakaj, E 2023, Financial Sentiment Analysis on Twitter During Covid-19 Pandemic in the UK. in Advances on Intelligent Computing and Data Science . Lecture Notes on Data Engineering and Communications Technologies, Springer Science and Business Media Deutschland GmbH, pp. 379-389. https://doi.org/10.1007/978-3-031-36258-3_33, https://doi.org/10.1007/978-3-031-36258-3_33

Financial Sentiment Analysis on Twitter During Covid-19 Pandemic in the UK. / Ashimi, Oluwamayowa; Dridi, Amna; Vakaj, Edlira.
Advances on Intelligent Computing and Data Science . Springer Science and Business Media Deutschland GmbH, 2023. p. 379-389 (Lecture Notes on Data Engineering and Communications Technologies).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Financial Sentiment Analysis on Twitter During Covid-19 Pandemic in the UK

AU - Ashimi, Oluwamayowa

AU - Dridi, Amna

AU - Vakaj, Edlira

PY - 2023/8/17

Y1 - 2023/8/17

KW - Financial sentiment analysis

KW - Covid-19

KW - Deep learning

UR - https://www.open-access.bcu.ac.uk/13979/

U2 - 10.1007/978-3-031-36258-3_33

DO - 10.1007/978-3-031-36258-3_33

M3 - Conference contribution

T3 - Lecture Notes on Data Engineering and Communications Technologies

SP - 379

EP - 389

BT - Advances on Intelligent Computing and Data Science

PB - Springer Science and Business Media Deutschland GmbH

ER -

Financial Sentiment Analysis on Twitter During Covid-19 Pandemic in the UK

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