INAOE-UPV at SemEval-2018 Task 3: An Ensemble Approach for Irony Detection in Twitter

no code implementations • SEMEVAL 2018 • Delia Iraz{\'u} Hern{\'a}ndez Far{\'\i}as, Fern S{\'a}nchez-Vega, o, Manuel Montes-y-G{\'o}mez, Paolo Rosso

This paper describes an ensemble approach to the SemEval-2018 Task 3.

General Classification Sentiment Analysis +3

ValenTO at SemEval-2018 Task 3: Exploring the Role of Affective Content for Detecting Irony in English Tweets

no code implementations • SEMEVAL 2018 • Delia Iraz{\'u} Hern{\'a}ndez Far{\'\i}as, Viviana Patti, Paolo Rosso

In this paper we describe the system used by the ValenTO team in the shared task on Irony Detection in English Tweets at SemEval 2018.

Sentiment Analysis

Annotating Sentiment and Irony in the Online Italian Political Debate on \#labuonascuola

no code implementations • LREC 2016 • Marco Stranisci, Cristina Bosco, Delia Iraz{\'u} Hern{\'a}ndez Far{\'\i}as, Viviana Patti

In this paper we present the TWitterBuonaScuola corpus (TW-BS), a novel Italian linguistic resource for Sentiment Analysis, developed with the main aim of analyzing the online debate on the controversial Italian political reform {``}Buona Scuola{''} (Good school), aimed at reorganizing the national educational and training systems.

Sentiment Analysis

ValenTo: Sentiment Analysis of Figurative Language Tweets with Irony and Sarcasm

no code implementations • SEMEVAL 2015 • Delia Iraz{\'u} Hern{\'a}ndez Far{\'\i}as, Emilio Sulis, Viviana Patti, Giancarlo Ruffo, Cristina Bosco

Opinion Mining Sarcasm Detection +1