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Listar por palabra clave "Irony detection"

Mostrando ítems 1-15 de 15

A Knowledge-Based Weighted KNN for Detecting Irony in Twitter

Hernandez-Farias, Delia Irazu; Montes Gomez, Manuel; Escalante, Hugo; Rosso, Paolo; Patti, Viviana (Springer-Verlag, 2018)

[EN] In this work, we propose a variant of a well-known instancebased algorithm: WKNN. Our idea is to exploit task-dependent features in order to calculate the weight of the instances according to a novel paradigm: the ...
A multidimensional approach for detecting irony in Twitter

Reyes Pérez, Antonio; Rosso ., Paolo; Veale, Tony (Springer Netherlands, 2013-03)

Irony is a pervasive aspect of many online texts, one made all the more difficult by the absence of face-to-face contact and vocal intonation. As our media increasingly become more social, the problem of irony detection ...
A survey on author profiling, deception, and irony detection for the Arabic language

Rosso, Paolo; Rangel-Pardo, Francisco Manuel; Hernandez-Farias, Delia Irazu; Cagnina, Leticia; Zaghouani, Wajdi; Charfi, Anis (Wiley, 2018-04)

[EN] The possibility of knowing people traits on the basis of what they write is a field of growing interest named author profiling. To infer a user's gender, age, native language, language variety, or even when the user ...
Dependency Syntax in the Automatic Detection of Irony and Stance

Cignarella, Alessandra Teresa (Universitat Politècnica de València, 2021-11-29)

[ES] The present thesis is part of the broad panorama of studies of Natural Language Processing (NLP). In particular, it is a work of Computational Linguistics (CL) designed to study in depth the contribution of syntax in ...
From humor recognition to Irony detection: The figurative language of social media

Reyes Pérez, Antonio; Rosso, Paolo; Buscaldi, Davide (Elsevier, 2012-04)

[EN] The research described in this paper is focused on analyzing two playful domains of language: humor and irony, in order to identify key values components for their automatic processing. In particular, we are focused ...
IDAT@FIRE2019: Overview of the Track on Irony Detection in Arabic Tweets

Ghanem, Bilal; Karoui, Jihen; Benamara, Farah; Moriceau, Véronique; Rosso, Paolo (CEUR-WS.org, 2019-12-15)

[EN] This overview paper describes the first shared task on irony detection for the Arabic language. The task consists of a binary classification of tweets as ironic or not using a dataset composed of 5,030 Arabic tweets ...
Irony Detection in Twitter with Imbalanced Class Distributions

Hernandez-Farias, Delia Irazu; Prati, Ronaldo; Herrera, Francisco; Rosso, Paolo (IOS Press, 2020)

[EN] Irony detection is a not trivial problem and can help to improve natural language processing tasks as sentiment analysis. When dealing with social media data in real scenarios, an important issue to address is data ...
Irony Detection in Twitter: The Role of Affective Content

Hernandez-Farias, Delia Irazu; Patti, Viviana; Rosso, Paolo (Association for Computing Machinery (ACM), 2016-08)

[EN] Irony has been proven to be pervasive in social media, posing a challenge to sentiment analysis systems. It is a creative linguistic phenomenon where affect-related aspects play a key role. In this work, we address ...
Irony detection via sentiment-based transfer learning

Zhang, Shiwei; Zhang, Xiuzhen; Chan, Jeffrey; Rosso, Paolo (Elsevier, 2019-09)

[EN] Irony as a literary technique is widely used in online texts such as Twitter posts. Accurate irony detection is crucial for tasks such as effective sentiment analysis. A text's ironic intent is defined by its context ...
Linguistic-based Patterns for Figurative Language Processing: The Case of Humor Recognition and Irony Detection

Reyes Pérez, Antonio (Universitat Politècnica de València, 2012-07-19)

El lenguaje figurado representa una de las tareas más difíciles del procesamiento del lenguaje natural. A diferencia del lenguaje literal, el lenguaje figurado hace uso de recursos lingüísticos tales como la ironía, el ...
Making objective decisions from subjective data: Detecting irony in customers reviews

Reyes Pérez, Antonio; Rosso, Paolo (Elsevier, 2012-11)

[EN] The research described in this work focuses on identifying key components for the task of irony detection. By means of analyzing a set of customer reviews, which are considered ironic both in social and mass media, ...
On the difficulty of automatically detecting irony: beyond a simple case of negation

Reyes Pérez, Antonio; Rosso, Paolo (Springer Verlag (Germany), 2014-09)

It is well known that irony is one of the most subtle devices used to, in a refined way and without a negation marker, deny what is literally said. As such, its automatic detection would represent valuable knowledge regarding ...
The unbearable hurtfulness of sarcasm

Frenda, Simona; Cignarella, Alessandra Teresa; Basile, Valerio; Bosco, Cristina; Patti, Viviana; Rosso, Paolo (Elsevier, 2022-05-01)

[EN] In the last decade, the need to detect automatically irony to correctly recognize the sentiment and hate speech involved in online texts increased the investigation on humorous figures of speech in NLP. The slight ...
Transformer based contextualization of pre-trained word embeddings for irony detection in Twitter

González-Barba, José Ángel; Hurtado Oliver, Lluis Felip; Pla Santamaría, Ferran (Elsevier, 2020-07)

[EN] Human communication using natural language, specially in social media, is influenced by the use of figurative language like irony. Recently, several workshops are intended to explore the task of irony detection in ...
Transformer-based models for multimodal irony detection

Tomás, David; Ortega-Bueno, Reynier; Zhang, Guobiao; Rosso, Paolo; Schifanella, Rossano (Springer, 2023-06)

[EN] Irony is nowadays a pervasive phenomenon in social networks. The multimodal functionalities of these platforms (i.e., the possibility to attach audio, video, and images to textual information) are increasingly leading ...