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...
| Published in: | Revista Daena: International Journal of Good Conscience Vol. 7; no. 1; pp. 68 - 78 |
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| Main Authors: | , |
| Format: | Article |
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Spenta University Mexico
abr2012
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| Summary: | 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. |
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