This paper presents a work in progress on the design of a sentiment polarity classification system that partici- pates in the EVALITA 2014 SENTIPOLC task. Although we have been working on the system implementation for only three months, the results are promising, as the system ranked 5th (out of 9) in the subjec- tivity detection task and 7th (out of 11) in the sentiment polarity classification task.
Di Gennaro P., Rossi A., Tamburini F. (2014). The FICLIT+CS@UniBO System at the EVALITA 2014 Sentiment Polarity Classification Task. Pisa : Pisa University Press.
The FICLIT+CS@UniBO System at the EVALITA 2014 Sentiment Polarity Classification Task
TAMBURINI, FABIO
2014
Abstract
This paper presents a work in progress on the design of a sentiment polarity classification system that partici- pates in the EVALITA 2014 SENTIPOLC task. Although we have been working on the system implementation for only three months, the results are promising, as the system ranked 5th (out of 9) in the subjec- tivity detection task and 7th (out of 11) in the sentiment polarity classification task.File in questo prodotto:
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