Matches in SemOpenAlex for { <https://semopenalex.org/work/W4287780777> ?p ?o ?g. }
Showing items 1 to 73 of
73
with 100 items per page.
- W4287780777 abstract "The severe outbreak of Covid-19 pandemic has affected many countries across the world, and disrupted the day to day activities of many people. During such outbreaks, understanding the emotional state of citizens of a country could be of interest to various organizations to carry out tasks and to take necessary measures. Several studies have been performed on data available on various social media platforms and websites to understand the emotions of people against many events, inclusive of Covid-19, across the world. Twitter and other social media platforms have been bridging the gap between the citizens and government in various countries and are of more prominence in India. Sentiment Analysis of posts on twitter is observed to accurately reveal the sentiments. Analysing real time posts on twitter in India during Covid-19, could help in identifying the mood of the nation. However, most of the existing studies related to Covid-19, on twitter and other social media platforms are performed on data posted during a specific interval. We are not aware of any research that identifies emotional state of India on a daily basis. Hence, we present a web portal that aims to display mood of India during Covid-19, based on real time twitter data. This portal also enables users to select date range, specific date and state in India to display mood of people belonging to the specified region, on the specified date or during the specified date range. Also, the number of Covid-19 cases and mood of people at specific cities and states on specific dates is visualized on the country map. As of May 6 2020, the web portal has about 194370 tweets, and each of these tweets are classified into seven categories that include six basic emotions and a neutral category. A list of Trigger Events are also specified, to allow users to view the mood of India on specific events happening in the country during Covid-19." @default.
- W4287780777 created "2022-07-26" @default.
- W4287780777 creator A5024990001 @default.
- W4287780777 creator A5042924610 @default.
- W4287780777 creator A5083874511 @default.
- W4287780777 date "2020-05-06" @default.
- W4287780777 modified "2023-10-17" @default.
- W4287780777 title "Mood of India During Covid-19 -- An Interactive Web Portal Based on Emotion Analysis of Twitter Data" @default.
- W4287780777 doi "https://doi.org/10.48550/arxiv.2005.02955" @default.
- W4287780777 hasPublicationYear "2020" @default.
- W4287780777 type Work @default.
- W4287780777 citedByCount "0" @default.
- W4287780777 crossrefType "posted-content" @default.
- W4287780777 hasAuthorship W4287780777A5024990001 @default.
- W4287780777 hasAuthorship W4287780777A5042924610 @default.
- W4287780777 hasAuthorship W4287780777A5083874511 @default.
- W4287780777 hasBestOaLocation W42877807771 @default.
- W4287780777 hasConcept C108827166 @default.
- W4287780777 hasConcept C112698675 @default.
- W4287780777 hasConcept C136764020 @default.
- W4287780777 hasConcept C138885662 @default.
- W4287780777 hasConcept C142724271 @default.
- W4287780777 hasConcept C144133560 @default.
- W4287780777 hasConcept C154945302 @default.
- W4287780777 hasConcept C15744967 @default.
- W4287780777 hasConcept C17744445 @default.
- W4287780777 hasConcept C2778137410 @default.
- W4287780777 hasConcept C2779134260 @default.
- W4287780777 hasConcept C2780733359 @default.
- W4287780777 hasConcept C3008058167 @default.
- W4287780777 hasConcept C41008148 @default.
- W4287780777 hasConcept C41895202 @default.
- W4287780777 hasConcept C518677369 @default.
- W4287780777 hasConcept C524204448 @default.
- W4287780777 hasConcept C66402592 @default.
- W4287780777 hasConcept C71924100 @default.
- W4287780777 hasConcept C77805123 @default.
- W4287780777 hasConceptScore W4287780777C108827166 @default.
- W4287780777 hasConceptScore W4287780777C112698675 @default.
- W4287780777 hasConceptScore W4287780777C136764020 @default.
- W4287780777 hasConceptScore W4287780777C138885662 @default.
- W4287780777 hasConceptScore W4287780777C142724271 @default.
- W4287780777 hasConceptScore W4287780777C144133560 @default.
- W4287780777 hasConceptScore W4287780777C154945302 @default.
- W4287780777 hasConceptScore W4287780777C15744967 @default.
- W4287780777 hasConceptScore W4287780777C17744445 @default.
- W4287780777 hasConceptScore W4287780777C2778137410 @default.
- W4287780777 hasConceptScore W4287780777C2779134260 @default.
- W4287780777 hasConceptScore W4287780777C2780733359 @default.
- W4287780777 hasConceptScore W4287780777C3008058167 @default.
- W4287780777 hasConceptScore W4287780777C41008148 @default.
- W4287780777 hasConceptScore W4287780777C41895202 @default.
- W4287780777 hasConceptScore W4287780777C518677369 @default.
- W4287780777 hasConceptScore W4287780777C524204448 @default.
- W4287780777 hasConceptScore W4287780777C66402592 @default.
- W4287780777 hasConceptScore W4287780777C71924100 @default.
- W4287780777 hasConceptScore W4287780777C77805123 @default.
- W4287780777 hasLocation W42877807771 @default.
- W4287780777 hasOpenAccess W4287780777 @default.
- W4287780777 hasPrimaryLocation W42877807771 @default.
- W4287780777 hasRelatedWork W2252197266 @default.
- W4287780777 hasRelatedWork W2326619756 @default.
- W4287780777 hasRelatedWork W2748952813 @default.
- W4287780777 hasRelatedWork W2899084033 @default.
- W4287780777 hasRelatedWork W2901173971 @default.
- W4287780777 hasRelatedWork W2972715936 @default.
- W4287780777 hasRelatedWork W2985289539 @default.
- W4287780777 hasRelatedWork W2997013919 @default.
- W4287780777 hasRelatedWork W4210971887 @default.
- W4287780777 hasRelatedWork W4290928156 @default.
- W4287780777 isParatext "false" @default.
- W4287780777 isRetracted "false" @default.
- W4287780777 workType "article" @default.