Correlación del Sentimiento Negativo y Positivo de comentarios Publicados en Twitter.
The present research describes the sentiment analysis carried on comments published on the social network Twitter. The data were obtained by monitoring over 36 days (one sample per hour) of evaluation on the sentiment of the comments that resulted from querying (or filtering) fourteen different mobi...
| Publicado en: | Revista Daena: International Journal of Good Conscience Vol. 7; no. 1; pp. 68 - 78 |
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| Autores principales: | , |
| Formato: | Artículo |
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Spenta University Mexico
abr2012
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=93609044&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 93609044 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 1870557X 77WQ jtl: Revista Daena: International Journal of Good Conscience issn: 1870557X maglogo: N pubinfo: dt: abr2012 vid: 7 iid: 1 pid: 47232 pub: Spenta University Mexico artinfo: ui: 93609044 ppf: 68 ppct: 10 formats: fmt: @attributes: type: P size: 363KB tig: atl: Correlación del Sentimiento Negativo y Positivo de comentarios Publicados en Twitter. aug: au: Rodríguez, Fernando Torres, Francisco su: Social networks Twitter (Web resource) Sentiment analysis Online comments Querying (Computer science) Computer operating systems sug: subj: Social networks Twitter (Web resource) Sentiment analysis Online comments Querying (Computer science) Computer operating systems ab: The present research describes the sentiment analysis carried on comments published on the social network Twitter. The data were obtained by monitoring over 36 days (one sample per hour) of evaluation on the sentiment of the comments that resulted from querying (or filtering) fourteen different mobile operating systems; using Twitter-Sentiment for the evaluation. It was found that the positive and negative comments have a positive correlation for most operating systems used in this research. Rodríguez, Fernando & Torres, Francisco En la presente investigación se describe el análisis de sentimiento (sentiment analysis) realizado en comentarios publicados en la red social de Twitter. Los datos se obtuvieron al monitorear durante 36 días (una muestra cada hora) la evaluación del sentimiento de los comentarios que resultaron de hacer búsquedas (o filtros) de catorce diferentes sistemas operativos para celular; utilizando para dicha evaluación la herramienta Twitter-Sentiment. Se encontró que los comentarios positivos y negativos presentan una correlación positiva para la mayoría de los sistemas operativos utilizados en la investigación. pubtype: Academic Journal doctype: Article src: R language: Spanish refInfo: copyright: @attributes: flag: Y custom: Copyright of Revista Daena: International Journal of Good Conscience is the property of Spenta University Mexico and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Revista Daena: International Journal of Good Conscience holder: Spenta University Mexico dt: @attributes: year: 2012 holdings: @attributes: islocal: N |
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