Matches in SemOpenAlex for { <https://semopenalex.org/work/W4226054278> ?p ?o ?g. }
Showing items 1 to 90 of
90
with 100 items per page.
- W4226054278 abstract "Coronavirus, known as COVID-19, rapidly spread on a wide scale in a short time consequently. World Health Organization (WHO) classified it as a global pandemic. Social networks news becomes a valuable resource for massive amounts of data and news about the epidemic in which news is deliberating every day. Twitter is one of these networks which is a popular platform that contains rich information and currently it repre-sents a rich resource of data about COVID-19. In this research, we study and analyze the spreading of the COVID-19 epidemic based on the location and dates using datasets from Twitter. Moreover, the study has done by performing sentiment analysis and making a correlation study between confirmed cases in a set of countries and the sentiment's polarity value including negative and positive as well as a correlation between the number of confirmed cases and number of tweets per country. Also, we have experimented with several machine learning classifiers including Naive base, Support Vector Machine, and Logistic Regression as well as RoBERTa model to predict the sentiment analysis on the dataset. The experimental results show that Logistic Regression outperforms other classifiers with an accuracy of 0.86%, thus, machine learning techniques could be used to study the sentiment of tweets which gives reasonable results." @default.
- W4226054278 created "2022-05-05" @default.
- W4226054278 creator A5013289176 @default.
- W4226054278 creator A5056019959 @default.
- W4226054278 creator A5083814766 @default.
- W4226054278 date "2021-12-06" @default.
- W4226054278 modified "2023-09-23" @default.
- W4226054278 title "Sentimental Analysis for Studying and Analyzing the Spreading of COVID-19 from Twitter Data" @default.
- W4226054278 cites W111622360 @default.
- W4226054278 cites W1978827654 @default.
- W4226054278 cites W2025330985 @default.
- W4226054278 cites W2118812665 @default.
- W4226054278 cites W3029078149 @default.
- W4226054278 cites W3043095242 @default.
- W4226054278 cites W3096393000 @default.
- W4226054278 cites W3101739755 @default.
- W4226054278 cites W3105951585 @default.
- W4226054278 cites W3117864197 @default.
- W4226054278 cites W3121587504 @default.
- W4226054278 cites W3127039061 @default.
- W4226054278 cites W3127056209 @default.
- W4226054278 cites W3159597990 @default.
- W4226054278 cites W3166142767 @default.
- W4226054278 cites W3174524123 @default.
- W4226054278 cites W3192600070 @default.
- W4226054278 doi "https://doi.org/10.1109/snams53716.2021.9731855" @default.
- W4226054278 hasPublicationYear "2021" @default.
- W4226054278 type Work @default.
- W4226054278 citedByCount "1" @default.
- W4226054278 countsByYear W42260542782022 @default.
- W4226054278 crossrefType "proceedings-article" @default.
- W4226054278 hasAuthorship W4226054278A5013289176 @default.
- W4226054278 hasAuthorship W4226054278A5056019959 @default.
- W4226054278 hasAuthorship W4226054278A5083814766 @default.
- W4226054278 hasConcept C119857082 @default.
- W4226054278 hasConcept C12267149 @default.
- W4226054278 hasConcept C124101348 @default.
- W4226054278 hasConcept C136764020 @default.
- W4226054278 hasConcept C142724271 @default.
- W4226054278 hasConcept C151956035 @default.
- W4226054278 hasConcept C154945302 @default.
- W4226054278 hasConcept C177264268 @default.
- W4226054278 hasConcept C199360897 @default.
- W4226054278 hasConcept C205649164 @default.
- W4226054278 hasConcept C2778755073 @default.
- W4226054278 hasConcept C2779134260 @default.
- W4226054278 hasConcept C3008058167 @default.
- W4226054278 hasConcept C41008148 @default.
- W4226054278 hasConcept C518677369 @default.
- W4226054278 hasConcept C524204448 @default.
- W4226054278 hasConcept C58489278 @default.
- W4226054278 hasConcept C58640448 @default.
- W4226054278 hasConcept C66402592 @default.
- W4226054278 hasConcept C71924100 @default.
- W4226054278 hasConceptScore W4226054278C119857082 @default.
- W4226054278 hasConceptScore W4226054278C12267149 @default.
- W4226054278 hasConceptScore W4226054278C124101348 @default.
- W4226054278 hasConceptScore W4226054278C136764020 @default.
- W4226054278 hasConceptScore W4226054278C142724271 @default.
- W4226054278 hasConceptScore W4226054278C151956035 @default.
- W4226054278 hasConceptScore W4226054278C154945302 @default.
- W4226054278 hasConceptScore W4226054278C177264268 @default.
- W4226054278 hasConceptScore W4226054278C199360897 @default.
- W4226054278 hasConceptScore W4226054278C205649164 @default.
- W4226054278 hasConceptScore W4226054278C2778755073 @default.
- W4226054278 hasConceptScore W4226054278C2779134260 @default.
- W4226054278 hasConceptScore W4226054278C3008058167 @default.
- W4226054278 hasConceptScore W4226054278C41008148 @default.
- W4226054278 hasConceptScore W4226054278C518677369 @default.
- W4226054278 hasConceptScore W4226054278C524204448 @default.
- W4226054278 hasConceptScore W4226054278C58489278 @default.
- W4226054278 hasConceptScore W4226054278C58640448 @default.
- W4226054278 hasConceptScore W4226054278C66402592 @default.
- W4226054278 hasConceptScore W4226054278C71924100 @default.
- W4226054278 hasLocation W42260542781 @default.
- W4226054278 hasOpenAccess W4226054278 @default.
- W4226054278 hasPrimaryLocation W42260542781 @default.
- W4226054278 hasRelatedWork W1996541855 @default.
- W4226054278 hasRelatedWork W2101819884 @default.
- W4226054278 hasRelatedWork W2937631562 @default.
- W4226054278 hasRelatedWork W2979979539 @default.
- W4226054278 hasRelatedWork W3136979370 @default.
- W4226054278 hasRelatedWork W3194539120 @default.
- W4226054278 hasRelatedWork W3195168932 @default.
- W4226054278 hasRelatedWork W4205958290 @default.
- W4226054278 hasRelatedWork W4312478656 @default.
- W4226054278 hasRelatedWork W4361795583 @default.
- W4226054278 isParatext "false" @default.
- W4226054278 isRetracted "false" @default.
- W4226054278 workType "article" @default.