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Listar por palabra clave "Sarcasm"

Mostrando ítems 1-5 de 5

A Multilevel Approach to Sentiment Analysis of Figurative Language in Twitter

Gopal Patra, Braja; Mazumda, Soumadeep; Das, Dipankar; Rosso, Paolo; Bandyopadhyay, Sivaji (Springer-Verlag, 2018)

[EN] Commendable amount of work has been attempted in the field of Sentiment Analysis or Opinion Mining from natural language texts and Twitter texts. One of the main goals in such tasks is to assign polarities (positive ...
El impacto de las emociones en el análisis de la polaridad en textos con lenguaje figurado en Twitter

Escortell Pérez, Mª Amparo; Gimenez Fayos, Maite; Rosso, Paolo (Sociedad Española para el Procesamiento del Lenguaje Natural, 2017)

[ES] Uno de los retos más complejos a los que se enfrenta el Procesamiento de Lenguaje Natural es el de determinar la polaridad de un tweet (positiva, negativa o neutra) cuando en éste aparece lenguaje figurado, es ...
Figurative Messages and Affect in Twitter: Differences Between #irony, #sarcasm and #not

Sulis, Emilio; Hernandez-Farias, Delia Irazu; Rosso, Paolo; Patti, Viviana; Ruffo, Giancarlo (Elsevier, 2016-09-15)

The use of irony and sarcasm has been proven to be a pervasive phenomenon in social media posing a challenge to sentiment analysis systems. Such devices, in fact, can influence and twist the polarity of an utterance in ...
Irony and Sarcasm Detection in Twitter: The Role of Affective Content

Hernández Farias, Delia Irazu (Universitat Politècnica de València, 2017-11-06)

Social media platforms, like Twitter, offer a face-saving ability that allows users to express themselves employing figurative language devices such as irony to achieve different communication purposes. Dealing with such ...
Recursos (des)corteses en el diálogo telecinemático: la ironía y el sarcasmo en la serie "Vis a Vis"

Chierichetti, Luisa (Universitat Politècnica de València, 2022-07-28)

[EN] This paper addresses the use of the annotations and descriptions in the scripts of a Spanish television series asmetapragmatic labels that classify (im)polite instances as ironic or sarcastic. Fictional data are ...