PhD, Teaching Assistant at @La_UPM Interested in Natural Language Processing, Machine Learning and their applications to Social Media
Madrid, Spain
Joined April 2016
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Óscar Araque retweeted
MoralStrength: Exploiting a moral lexicon and embedding similarity for moral foundations prediction sciencedirect.com/science/ar…
w/@oaraquei @lorgatti
code:
github.com/oaraque/moral-fou…
Just presented a new work on multilingual models for automatic vaccine hesitancy detection at @CLiC_it_conf 2023!
"Towards a Multilingual System for Vaccine
Hesitancy using a Data Mixture Approach."
A work done with @KyriakiKalimeri
To see the details, check github.com/gsi-upm/multiling…
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Óscar Araque retweeted
Truly excited to share our latest results on domain specific expressions of morality at #ACL2023! 🎉 Thank you @EnricoLiscio for leading this! w/@oaraquei @lorgatti @DrPradeepKM @CatholijnJonker I.Constantinescu
#ACL2023NLP @ISI_Fondazione @tudelft @aclmeeting
@UTwente
Óscar Araque retweeted
Does your research involve #vulnerable populations or touching upon #humanitarian issues? Join us and @MartonKarsai @mimran15 and J.J Ramasco to discuss about #MachineLearning #AI and #dataforgood @ISI_Fondazione @icwsm w/@yelenamejova @danielapaolotti
tinyurl.com/5n6dmdbb
ALT workshop on data for the wellbeing of the most vulnerable
Óscar Araque retweeted
Training data available for our EMit (Categorical Emotion Detection in Italian Social Media) task at #EVALITA2023!
@EVALITAcampaign @AILC_NLP
di.unito.it/~tutreeb/emit23/…
Óscar Araque retweeted
Durante el acto de Santo Tomás de Aquino se ha procedido también a la entrega de los Premios Extraordinarios de Doctorado.
#somosUPM #nosoloingenieria
Óscar Araque retweeted
Hoy @HerreraenCOPE ha entrevistado a nuestro profesor Víctor Villagrá, director del Máster en #Ciberseguridad de @La_UPM.
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#ENTREVISTA 🎙️ Víctor Villagrá, experto en ciberseguridad: “El arma más peligrosa de un hacker es el dedo de la víctima”
cope.es/n/2422420
Óscar Araque retweeted
In this edition of #EVALITA2023, included in the track affect, EMit – Categorical Emotion Detection in Italian Social Media (O. Araque, S. Frenda, D. Nozza, V. Patti, R. Sprugnoli)
di.unito.it/emit23 #NLP #AILC @AILC_NLP
Óscar Araque retweeted
El próximo 11 de noviembre nos vemos en @teleco_upm y @DLAplicada_UPM para celebrar la Jornada de #AETER2022 ¡Os esperamos!
Óscar Araque retweeted
Interested in measuring the moral value of liberty in text? Check out our new lexicon I just presented at the #GoodIT conference! tinyurl.com/jf6c7mp2 Code & Data available w/@oaraquei @lorgatti
#css #dataforgood #vaccines #mft #nlp – at Cyprus
Óscar Araque retweeted
Simona Frenda presents "O-Dang! The Ontology of Dangerous Speech Messages" lrec-conf.org/proceedings/lr…
#SALLD2 #NLProc @Ginger_in_AI @marcostranisci @vivi_patti @ale_t_cig
I was recently interviewed by @EFEnoticias about "DepecheMood++", en emotion lexicon for English and Italian. I also talked about the PARTICIPATION project @ParticipH2020 and how emotions can be used to improve the analysis of radicalization and propaganda spreading. #NLP
Generating a piece of propaganda is relatively easy, but analyzing and arguing why that information is false is much more costly. Resources like "DepecheMood++" can be very useful in detecting and curbing unwanted content. #Radicalization #EmotionAnalysis
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DepecheMood++, an English and Italian emotion lexicon developed with @Friggigatto, @stjaco, and @m_guerini has made Spanish headlines!
Find the paper here: doi.org/10.1109/TAFFC.2019.2…
The lexicon is public and can easily used: github.com/marcoguerini/Depe…