Voces sobre la salud en Twitter: Un análisis de los sentimientos acerca de los hospitales públicos en Quito
Voices on health on Twitter: Sentiment analysis of public hospitals in Quito
Loading...
Date
Authors
Cabrera Barona, Pablo
Recalde, Lorena
relationships.isAuthorOf3
relationships.isAuthorOf4
relationships.isAuthorOf2
relationships.isAuthorOf6
relationships.isAuthorOf7
relationships.isAuthorOf8
relationships.isAuthorOf5
Journal Title
Journal ISSN
Volume Title
Publisher
Quito, Ecuador : Flacso Ecuador
item.qr.title
item.qr.description
Abstract
Description
En el presente artículo se calculan y evalúan sentimientos positivos y negativos sobre los hospitales públicos de Quito, Ecuador, a partir de información recopilada en Twitter. Para ello se realizó una recolección de tweets y retweets (observaciones) sobre hospitales vía API de Twitter. Durante la investigación se clasificaron estos datos en puntajes de sentimientos positivos (de 1 a 5) y negativos (de -1 a -5), usando el algoritmo SentiStrength. También se hallaron las divergencias emocionales de los sentimientos de cada observación y se encontró que las modas de los puntajes positivos y negativos fueron 1 y -1 respectivamente.
The present article calculates and evaluates positive and negative sentiments about hospitals in Quito, Ecuador, which were derived from information in Twitter. We collected of tweets and-re- tweets that referred to public hospitals through Twitter API. A total of 1,138 observations (tweets and re-tweets) were collected. We performed data classification in scores of positive (from 1 to 5) and negative (from -1 to -5) sentiments, using the SentiStrength algorithm, and calculated the emotional divergences of these sentiments. The modes of positive and negative sentiments were 1 and -1, respectively.
The present article calculates and evaluates positive and negative sentiments about hospitals in Quito, Ecuador, which were derived from information in Twitter. We collected of tweets and-re- tweets that referred to public hospitals through Twitter API. A total of 1,138 observations (tweets and re-tweets) were collected. We performed data classification in scores of positive (from 1 to 5) and negative (from -1 to -5) sentiments, using the SentiStrength algorithm, and calculated the emotional divergences of these sentiments. The modes of positive and negative sentiments were 1 and -1, respectively.
item.page.notes
Keywords
HOSPITALES PÚBLICOS, SALUD, SENTIMIENTOS, TWITTER, QUITO (CIUDAD), ECUADOR
item.page.medium
item.page.tipo
Artículo
Date
item.page.doi
item.page.other
item.page.isbn
item.page.ispartofseries
item.page.paginacion
p. 135-149
item.page.lugar
item.page.cita
Cabrera Barona, Pablo y Lorena Recalde. 2021 Voces sobre la salud en Twitter: Un análisis de los sentimientos acerca de los hospitales públicos en Quito o Voices on health on Twitter: Sentiment analysis of public hospitals in Quito. Mundos Plurales. Revista Latinoamericana de Política y Acción Pública, 8(2):135-149.
item.page.extent
Collections
Endorsement
Review
Supplemented By
Referenced By
Creative Commons license
Except where otherwised noted, this item's license is described as openAccess

