FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3208189837> ?p ?o ?g. }

• W3208189837 abstract "This study aims to conduct text mining of affective valence of the sentiments generated on social media during the COVID-19 and measure their association with different outcomes of the disease. 50,000 tweets per day over 23 days during the pandemic were extracted using the VADER sentiment analysis tool. Overall, tweets could effectively be classified in terms of polarity, i.e., “positive,” “negative” and “neutral” sentiments. Furthermore, on a day-to-day basis, the study identified a positive and significant relationship between COVID-19-related (a) global infections and negative tweets, (b) global deaths and negative tweets, (c) recoveries and negative tweets, and (d) recoveries and positive tweets. No significant association could be found between (e) infections and positive tweets and (f) deaths and positive tweets. Furthermore, the statistical analysis also indicated that the daily distribution of tweets based on polarity generates three distinct and significantly different numbers of tweets per category, i.e., positive, negative and neutral. As per the results generated through sentiment analysis of tweets in this study, the emergence of “positive” tweets in such a gloomy pandemic scenario shows the inherent resilience of humans. The significant association between news of COVID-19 recoveries and positive tweets seems to hint at a more optimistic scenario whenever the pandemic finally comes to an end or is controlled. Such public reactions—for good—have the potential to go viral and influence several others, especially those who are classified as “neutral” or fence-sitters." @default.
• W3208189837 created "2021-11-08" @default.
• W3208189837 creator A5015588591 @default.
• W3208189837 creator A5033461679 @default.
• W3208189837 creator A5049503624 @default.
• W3208189837 date "2021-10-27" @default.
• W3208189837 modified "2023-10-18" @default.
• W3208189837 title "Identification of affective valence of Twitter generated sentiments during the COVID-19 outbreak" @default.
• W3208189837 cites W1512104599 @default.
• W3208189837 cites W2014409502 @default.
• W3208189837 cites W2022783018 @default.
• W3208189837 cites W2031919251 @default.
• W3208189837 cites W2033640210 @default.
• W3208189837 cites W2048014358 @default.
• W3208189837 cites W2050402194 @default.
• W3208189837 cites W2058049360 @default.
• W3208189837 cites W2074097848 @default.
• W3208189837 cites W2078638446 @default.
• W3208189837 cites W2095823787 @default.
• W3208189837 cites W2101612261 @default.
• W3208189837 cites W2104925568 @default.
• W3208189837 cites W2109734180 @default.
• W3208189837 cites W2124194632 @default.
• W3208189837 cites W2141161236 @default.
• W3208189837 cites W2147194983 @default.
• W3208189837 cites W2148827938 @default.
• W3208189837 cites W2150957645 @default.
• W3208189837 cites W2186956554 @default.
• W3208189837 cites W2190675355 @default.
• W3208189837 cites W2230691563 @default.
• W3208189837 cites W2231614301 @default.
• W3208189837 cites W2282092137 @default.
• W3208189837 cites W2464236921 @default.
• W3208189837 cites W2465205559 @default.
• W3208189837 cites W2486647735 @default.
• W3208189837 cites W2510628191 @default.
• W3208189837 cites W2531252297 @default.
• W3208189837 cites W2542080616 @default.
• W3208189837 cites W2550706273 @default.
• W3208189837 cites W2559234628 @default.
• W3208189837 cites W2562465529 @default.
• W3208189837 cites W2585678381 @default.
• W3208189837 cites W2598230052 @default.
• W3208189837 cites W2600736460 @default.
• W3208189837 cites W2601223312 @default.
• W3208189837 cites W2603851622 @default.
• W3208189837 cites W2611405893 @default.
• W3208189837 cites W2613050345 @default.
• W3208189837 cites W2729736251 @default.
• W3208189837 cites W2733239919 @default.
• W3208189837 cites W2755264408 @default.
• W3208189837 cites W2756042874 @default.
• W3208189837 cites W2765126493 @default.
• W3208189837 cites W2774008574 @default.
• W3208189837 cites W2789327957 @default.
• W3208189837 cites W2791756671 @default.
• W3208189837 cites W2794946186 @default.
• W3208189837 cites W2809219749 @default.
• W3208189837 cites W2897464289 @default.
• W3208189837 cites W2899708929 @default.
• W3208189837 cites W2904900314 @default.
• W3208189837 cites W2908030825 @default.
• W3208189837 cites W2915000823 @default.
• W3208189837 cites W2926099714 @default.
• W3208189837 cites W2944859252 @default.
• W3208189837 cites W2952214074 @default.
• W3208189837 cites W2973117759 @default.
• W3208189837 cites W3005716085 @default.
• W3208189837 cites W3013320147 @default.
• W3208189837 cites W3038402194 @default.
• W3208189837 cites W3038882650 @default.
• W3208189837 cites W3041017392 @default.
• W3208189837 cites W3045495327 @default.
• W3208189837 cites W3047157313 @default.
• W3208189837 cites W3048613321 @default.
• W3208189837 cites W3083835905 @default.
• W3208189837 cites W3086731473 @default.
• W3208189837 cites W3090154305 @default.
• W3208189837 cites W3094221957 @default.
• W3208189837 cites W3094733139 @default.
• W3208189837 cites W3104758113 @default.
• W3208189837 cites W3112661123 @default.
• W3208189837 cites W3123259284 @default.
• W3208189837 cites W3138968723 @default.
• W3208189837 cites W4239588910 @default.
• W3208189837 cites W854920577 @default.
• W3208189837 doi "https://doi.org/10.1007/s13278-021-00828-x" @default.
• W3208189837 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8548272" @default.
• W3208189837 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34721721" @default.
• W3208189837 hasPublicationYear "2021" @default.
• W3208189837 type Work @default.
• W3208189837 sameAs 3208189837 @default.
• W3208189837 citedByCount "12" @default.
• W3208189837 countsByYear W32081898372022 @default.
• W3208189837 countsByYear W32081898372023 @default.
• W3208189837 crossrefType "journal-article" @default.
• W3208189837 hasAuthorship W3208189837A5015588591 @default.
• W3208189837 hasAuthorship W3208189837A5033461679 @default.
• W3208189837 hasAuthorship W3208189837A5049503624 @default.
• W3208189837 hasBestOaLocation W32081898371 @default.

• next