Delia Irazu Hernandez Farias
Delia Irazu Hernandez Farias
Instituto Nacional de Astrofísica, Óptica y Electrónica
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Figurative messages and affect in Twitter: Differences between# irony,# sarcasm and# not
E Sulis, DIH Farías, P Rosso, V Patti, G Ruffo
Knowledge-Based Systems 108, 132-143, 2016
Irony detection in twitter: The role of affective content
DIH Farías, V Patti, P Rosso
ACM Transactions on Internet Technology (TOIT) 16 (3), 1-24, 2016
Applying basic features from sentiment analysis for automatic irony detection
I Hernández-Farías, JM Benedí, P Rosso
Iberian Conference on Pattern Recognition and Image Analysis, 337-344, 2015
Sentiment analysis on microblogs for natural disasters management: a study on the 2014 genoa floodings
D Buscaldi, I Hernandez-Farias
Proceedings of the 24th International Conference on World Wide Web, 1185-1188, 2015
Friends and enemies of clinton and trump: using context for detecting stance in political tweets
M Lai, DIH Farías, V Patti, P Rosso
Mexican International Conference on Artificial Intelligence, 155-168, 2016
Valento: Sentiment analysis of figurative language tweets with irony and sarcasm
H Farías, D Irazú, E Sulis, V Patti, GF Ruffo, C Bosco
9th International Workshop on Semantic Evaluation (SemEval 2015), 694-698, 2015
A simple model for classifying web queries by user intent
I Hernández, P Gupta, P Rosso, M Rocha
Proc. 2nd Spanish Conf. Information Retrieval, 235-240, 2012
Annotating sentiment and irony in the online Italian political debate on# labuonascuola
M Stranisci, C Bosco, H FARIAS, D IRAZU, V Patti
Tenth International Conference on Language Resources and Evaluation LREC …, 2016
IRADABE: Adapting English lexicons to the Italian sentiment polarity classification task
I Hernandez-Farias, D Buscaldi, B Priego-Sánchez
Emotions and irony per gender in facebook
F Rangel, I Hernández, P Rosso, A Reyes
Proceedings of workshop ES3LOD, LREC, 1-6, 2014
ITACOS at ibereval2017: detecting stance in Catalan and Spanish tweets
M Lai, AT Cignarella, H FARIAS, D IRAZU
IberEval 2017 1881, 185-192, 2017
Analyzing and annotating for sentiment analysis the socio-political debate on# labuonascuola
M Stranisci, C Bosco, V Patti, H FARIAS, D IRAZU
second Italian Conference on Computational Linguistics, 274-279, 2015
ValenTO at SemEval-2018 Task 3: Exploring the Role of Affective Content for Detecting Irony in English Tweets
DIH Farías, V Patti, P Rosso
Proceedings of The 12th International Workshop on Semantic Evaluation, 643-648, 2018
Irony and sarcasm detection in Twitter: the role of affective content
H Farias, D Irazu
Web service SWePT: A hybrid opinion mining approach
YR Baca-Gomez, A Martinez, P Rosso, H Estrada Esquivel, ...
Journal of Universal Computer Science 22 (5), 671-690, 2016
Semantic-based features for author profiling identification: first insights—Notebook for PAN at CLEF 2013
DIH Farias, R Guzman-Cabrera, A Reyes, MA Rocha
Forner et al, 2013
Sentiment polarity classification of figurative language: Exploring the role of irony-aware and multifaceted affect features
DIH Farías, C Bosco, V Patti, P Rosso
International Conference on Computational Linguistics and Intelligent Text …, 2017
Impacto de la ironía en la minería de opiniones basada en un léxico afectivo
YR Baca Gomez, NA Castro Sánchez, A Martinez, H Farias, D Irazu, ...
CEUR Workshop Proceedings 1199, 41-44, 2014
INAOE-UPV at SemEval-2018 Task 3: An Ensemble Approach for Irony Detection in Twitter
DIH Farías, F Sánchez-Vega, M Montes, P Rosso
Proceedings of the 12th International Workshop on Semantic Evaluation, 594-599, 2018
Subjective well-being and social media: A semantically annotated twitter corpus on fertility and parenthood
E Sulis, C Bosco, V Patti, M Lai, DIH Farías, L Mencarini, M Mozzachiodi, ...
3rd Italian Conference on Computational Linguistics, CLiC-it 2016 and 5th …, 2016
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