COVID-19 in the UK: sentiment and emotion analysis of Tweets over time. (2023)
Conference Proceeding
AMUJO, O., IBEKE, E., IWENDI, C. and BOULOUARD, Z. 2023. COVID-19 in the UK: sentiment and emotion analysis of Tweets over time. In Iwendi, C., Boulouard, Z. and Kryvinska, N. (eds.) Proceedings of the 2023 International conference on advances in communication technology and computer engineering (ICACTE'23): new artificial intelligence and the Internet of things based perspective and solutions, 23-24 February 2023, Bolton UK. Lecture notes in networks and systems, 735. Cham: Springer [online], pages 519-535. Available from: https://doi.org/10.1007/978-3-031-37164-6_38

We performed an analysis of tweets concerning the COVID-19 pandemic in the UK over a two-year period, selecting fifteen timelines. Over 110,000 tweets were obtained from Twitter and analysed using BERT and Text2Emotions for sentiment and emotion anal... Read More about COVID-19 in the UK: sentiment and emotion analysis of Tweets over time..

Bibliometric analysis of scientific literature on mental health research in Africa. (2023)
Conference Proceeding
EGWUOGU, C., IBEKE, E., CHAURASIA, P., IWENDI, C. and BOULOUARD, Z. 2023. Bibliometric analysis of scientific literature on mental health research in Africa. In Iwendi, C., Boulouard, Z. and Kryvinska, N. (eds.) Proceedings of the 2023 International conference on advances in communication technology and computer engineering (ICACTCE'23): new artificial intelligence and the Internet of things based perspective and solutions, 23-24 February 2023, Bolton UK. Lecture notes in networks and systems, 735. Cham: Springer [online], pages 469-489. Available from: https://doi.org/10.1007/978-3-031-37164-6_35

This bibliometric study presents a comprehensive summary of literature published on mental health research in Africa. The region has a large number of scientific studies conducted in this area. The purpose of this study was to investigate the contrib... Read More about Bibliometric analysis of scientific literature on mental health research in Africa..

Sentiment computation of UK-originated Covid-19 vaccine Tweets: a chronological analysis and news effect. (2023)
Journal Article
AMUJO, O., IBEKE, E., FUZI, R., OGARA, U. and IWENDI, C. 2023. Sentiment computation of UK-originated Covid-19 vaccine Tweets: a chronological analysis and news effect. Sustainability [online], 15(4), article 3212. Available from: https://doi.org/10.3390/su15043212

This study aimed to analyse public sentiments of UK-originated tweets related to COVID-19 vaccines, and it applied six chronological time periods, between January and December 2021. The dates were related to six BBC news reports about the most signif... Read More about Sentiment computation of UK-originated Covid-19 vaccine Tweets: a chronological analysis and news effect..

Covid-19 fake news sentiment analysis. (2022)
Journal Article
IWENDI, C., MOHAN, S., KHAN, S., IBEKE, E., AHMADIAN, A. and CIANO, T. 2022. COVID-19 fake news sentiment analysis. Computers and electrical engineering [online], 101, article 107967. Available from: https://doi.org/10.1016/j.compeleceng.2022.107967

’Fake news’ refers to the misinformation presented about issues or events, such as COVID-19. Meanwhile, social media giants claimed to take COVID-19 related misinformation seriously, however, they have been ineffectual. This research uses the Informa... Read More about Covid-19 fake news sentiment analysis..

Recurrent neural network and reinforcement learning model for COVID-19 prediction. (2021)
Journal Article
KUMAR, R.L., KHAN, F., DIN, S., BAND, S.S., MOSAVI, A. and IBEKE, E. 2021. Recurrent neural network and reinforcement learning model for COVID-19 prediction. Frontiers in public health [online], 9, article 744100. Available from: https://doi.org/10.3389/fpubh.2021.744100

Detection and prediction of the novel Coronavirus present new challenges for the medical research community due to its widespread across the globe. Methods driven by Artificial Intelligence can help predict specific parameters, hazards, and outcomes... Read More about Recurrent neural network and reinforcement learning model for COVID-19 prediction..