Use of big data in computational epidemiology for public health surveillance

Sentiment analysis and its applications in fighting COVID-19 and infectious diseases: A systematic review

“…Data are the most important aspect in any study and the most significant effector that controls the analysis, findings and all aspects of research elements. In sentiment analysis, data have been repeatedly shown to be an active research area ( Chaudhary & Naaz, 2017 ) that can offer valuable insights into new diseases ( Chaudhary & Naaz, 2017 ) and outbreaks ( Gayo-Avello, et al, 2013 ) with the understanding of natural and varied settings. Moreover, data are fast-growing topics in textual detection ( i.e., sentiment ) from a variety of broadcast, news press and social media sites ( Al-garadi, et al, 2016 ; E. H.-J.…”

“…In the former, the identified literature highlights issues such as the noisy nature of data from social media sites ( Al-garadi, et al, 2016 ; K. Ali et al, 2017 , Almazidy et al, 2016 , Chaudhary and Naaz, 2017 , Gayo-Avello et al, 2013 ) or insufficiency ( Pollacci et al, 2017 , Seltzer et al, 2017 , Zarrad et al, 2014 ). Other authors highlighted data processing issues with regard to the irrelevancy of data (K. Ali, et al, 2017 ) or the premise that data have different types and formatting styles ( Al-garadi, et al, 2016 ; K. Ali et al, 2017 , Chaudhary and Naaz, 2017 ; Jain & Kumar, 2018; Jain & Kumar, 2015 ). Aside from other scholars who agreed that processing data from social media requires excellent processing skills ( Gayo-Avello, et al, 2013 ), the need for a high volume of analysis procedures is acknowledged ( Al-garadi et al, 2016 , Chaudhary and Naaz, 2017 ; Jain & Kumar, 2018; Zarrad, et al, 2014 ).…”

“…Other authors highlighted data processing issues with regard to the irrelevancy of data (K. Ali, et al, 2017 ) or the premise that data have different types and formatting styles ( Al-garadi, et al, 2016 ; K. Ali et al, 2017 , Chaudhary and Naaz, 2017 ; Jain & Kumar, 2018; Jain & Kumar, 2015 ). Aside from other scholars who agreed that processing data from social media requires excellent processing skills ( Gayo-Avello, et al, 2013 ), the need for a high volume of analysis procedures is acknowledged ( Al-garadi et al, 2016 , Chaudhary and Naaz, 2017 ; Jain & Kumar, 2018; Zarrad, et al, 2014 ). Conversely, collecting data on a user’s opinions regarding a specific subject is an immense burden and challenging process ( Al-garadi et al, 2016 , Zarrad et al, 2014 ) as social media platforms proliferate, and thus, quickly multiply the amount of data (Jain & Kumar, 2018).…”

“…The sections contain a total of n = 4/28 articles. The first work by Chaudhary and Naaz (2017) discussed the importance of utilising big data means, such as sentiment analysis, from social media to address new epidemics and described that slow rate responses to these occurrences might prevent countries from contracting these diseases. The study also raised the importance of including unstructured data sources, such as social media ( i.e., Facebook or Twitter ), by governments and performing opinion analysis while publishing national health and epidemic outbreak advisories in the near future.…”

“…Sentiment analysis contributes to the understanding of human emotions as it can seek people’s behaviours as users engage in these social media applications ( Ji, et al, 2016 ). Additionally, these media applications have been employed in various application domains, including tourism ( Ainin, Feizollah, Anuar, & Abdullah, 2020 ), business ( Reyes-Menendez, Saura, & Filipe, 2020 ), education ( Hassan, et al, 2020 ) and health (Rodrigues, das Dores, Camilo-Junior, & Rosa, 2016), for various beneficial purposes, such as analysing opinions ( Zarrad, et al, 2014 ) and allowing people to express their emotions freely ( Chung, et al, 2015 ), and for highly dynamic and real-time data trends ( Chaudhary & Naaz, 2017 ). With this feature, large-scale communities can be observed at a low cost ( Choi, et al, 2017 ).…”