CovidEmoVis - An Interactive Visual Analytic Tool for Exploring Emotions from Twitter Data of Covid-19

Leticia Marisol Laura Ochoa, Franco Tejada-Toledo

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva


Due to the Covid-19 pandemic, nowadays people comment a lot in Twitter expressing emotions around this. It can be very difficult to analyze and obtain information from big amounts of unstructured data, the objective of this work is the processing of high volumes of these tweets and to get a temporal visual exploration analysis of emotions through an interactive visual analytic tool from Twitter Data of Covid-19. This useful tool could help to the specialists in Psychology to know more about the emotional profile of users and the tweets posted daywise. Further it helps to see the important words of the tweets through word cloud and a two-dimensional plane graph to see the word of each tweet with its VAD (valence, arousal and dominance) scores and emotions. First we preprocessed the data to delete the stopwords, then we used a RNN (Recurrent Neural Network) to get an emotion related to the tweet, then we calculate VAD scores and fill missing emotions, this data can be visualized across this tool on a timeline interactively.

Idioma originalInglés
Título de la publicación alojadaHuman-Computer Interaction - 6th Iberomarican Workshop, HCI-Collab 2020, Proceedings
EditoresVanessa Agredo-Delgado, Pablo H. Ruiz, Vanessa Agredo-Delgado, Pablo H. Ruiz, Klinge Orlando Villalba-Condori
EditorialSpringer Science and Business Media Deutschland GmbH
Número de páginas13
ISBN (versión impresa)9783030669188
EstadoPublicada - 2020
Evento6th Ibero-American Conference on Human-Computer Interaction, HCI-Collab 2020 - Arequipa, Perú
Duración: 16 set. 202018 set. 2020

Serie de la publicación

NombreCommunications in Computer and Information Science
ISSN (versión impresa)1865-0929
ISSN (versión digital)1865-0937


Conferencia6th Ibero-American Conference on Human-Computer Interaction, HCI-Collab 2020

Nota bibliográfica

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.


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