Delia Irazu Hernandez Farias
Cited by
Cited by
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
Annotating sentiment and irony in the online italian political debate on# labuonascuola
M Stranisci, C Bosco, DI Hernandez Farias, V Patti
Tenth International Conference on Language Resources and Evaluation LREC …, 2016
Valento: Sentiment analysis of figurative language tweets with irony and sarcasm
DI Hernández Farías, 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
IRADABE: Adapting English lexicons to the Italian sentiment polarity classification task
I Hernandez-Farias, D Buscaldi, B Priego-Sánchez
First Italian Conference on Computational Linguistics (CLiC-it 2014) and the …, 2014
Multilingual stance detection in social media political debates
M Lai, AT Cignarella, DIH Farías, C Bosco, V Patti, P Rosso
Computer Speech & Language 63, 101075, 2020
itacos at ibereval2017: Detecting stance in catalan and spanish tweets
M Lai, AT Cignarella, DI Hernandez Farias
IberEval 2017 1881, 185-192, 2017
Irony, Sarcasm, and sentiment analysis
DI Hernandez Farias, P Rosso
Pozzi et al, 113-128, 2016
Emotions and irony per gender in facebook
F Rangel, I Hernández, P Rosso, A Reyes
Proceedings of workshop ES3LOD, LREC, 1-6, 2014
Irony and sarcasm detection in Twitter: the role of affective content
DI Hernández Farías
Universitat Politècnica de València, 2017
Analyzing and annotating for sentiment analysis the socio-political debate on# labuonascuola
M Stranisci, C Bosco, V Patti, DI Hernandez Farias
second Italian Conference on Computational Linguistics, 274-279, 2015
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
A knowledge-based weighted KNN for detecting irony in Twitter
DIH Farías, M Montes-y-Gómez, HJ Escalante, P Rosso, V Patti
Mexican International Conference on Artificial Intelligence, 194-206, 2018
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
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
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
The system can't perform the operation now. Try again later.
Articles 1–20