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A Contextualized Word Representation Approach for Irony Detection

Lizeth García, Daniela Moctezuma, Víctor Muñiz
2019 Annual Conference of the Spanish Society for Natural Language Processing  
Taking into account that irony detection is a very important task in many applications, we proposed a system based on a distributed representation of the texts, using the ELMo approach.  ...  IroSvA (Irony Detection in Spanish variants) is a contest dedicated to identify the presence of irony in a given context in short messages written in Spanish, specifically tweets and news comments.  ...  The automatic detection of irony has been widely studied, mainly in English, although there are a variety of works for other languages.  ... 
dblp:conf/sepln/GarciaMM19 fatcat:ivqhu4zd2va2padsiyrlajsmfy

Unsupervised Opinion Polarity Detection based on New Lexical Resources

Mario Amores, Leticia Arco, Claudia Borroto
2016 Journal of Computacion y Sistemas  
There are polarity detection techniques based on the lexicon of opinion words and those based on machine learning techniques.  ...  In this paper, we focus on unsupervised polarity detection using lexical resources.  ...  Study Case and Validation Results In this section we consider a study case concerning 100 positive and 100 negative opinions manually labeled from a Yahoo discussion forum.  ... 
doi:10.13053/cys-20-2-2318 fatcat:o626bld3t5em7cxw4phruigeki

Stance Detection

Dilek Küçük, Fazli Can
2020 ACM Computing Surveys  
Stance detection is a recent natural language processing topic with diverse application areas, and our survey article on this newly emerging topic will act as a significant resource for interested researchers  ...  Although stance detection is defined in different ways in different application settings, the most common definition is "automatic classification of the stance of the producer of a piece of text, towards  ...  ACKNOWLEDGMENTS The authors would like to thank the anonymous reviewers for their insightful comments.  ... 
doi:10.1145/3369026 fatcat:5fviqvi6o5by7p6pdfrgxub2vi

Aggressive Text Detection for Cyberbullying [chapter]

Laura P. Del Bosque, Sara Elena Garza
2014 Lecture Notes in Computer Science  
We propose to automatically map a document with an aggressiveness score (thus treating aggressive text detection as a regression problem) and explore different approaches for this purpose.  ...  Aggressive text detection in social networks allows to identify offenses and misbehavior, and leverages tasks such as cyberbullying detection.  ...  comments belong to the English language, since the lexicons we use were made for this language (working with Spanish, which is our native tongue, is left for now as future work).  ... 
doi:10.1007/978-3-319-13647-9_21 fatcat:g7tiikrrljdpnkr2jvsukgegwq

GSI-UPM at SemEval-2019 Task 5: Semantic Similarity and Word Embeddings for Multilingual Detection of Hate Speech Against Immigrants and Women on Twitter

Diego Benito, Oscar Araque, Carlos A. Iglesias
2019 Proceedings of the 13th International Workshop on Semantic Evaluation  
While our approach outperforms baseline classifiers on different sub-tasks, the best of our submitted runs reached the 5th position on the Spanish subtask A.  ...  The main contribution of the paper is the use of a method based on word embeddings and semantic similarity combined with traditional paradigms, such as n-grams, TF-IDF and POS.  ...  Acknowledgments This work has been partially supported by the Spanish Ministry of Economy and Competitiveness under the R&D project SEMOLA (TEC2015-68284-R) and the European Union with Trivalent (H2020  ... 
doi:10.18653/v1/s19-2070 dblp:conf/semeval/BenitoAI19 fatcat:5wa67zaxkzckjlccm4xni5uj2q

Hate Speech Detection in Ethiopian Social Media Text

Arefat Hyeredin
2020 Zenodo  
This is a research proposal on hate speech detection in ethiopian social media text.  ...  In this case, a corpus is created based on the words that are in the training data, instead of a predefined set of words, as in the dictionaries.  ...  In study character n-gram features proved to be more predictive than to kenn-gram features, for the specific problem of abusive language detection.  ... 
doi:10.5281/zenodo.3677486 fatcat:vv7yykwklfal7j6ah2u3hptmbi

A Multi-task Learning Approach to Hate Speech Detection Leveraging Sentiment Analysis

Flor Miriam Plaza-Del-Arco, M. Dolores Molina-Gonzalez, L. Alfonso Urena-Lopez, Maria Teresa Martin-Valdivia
2021 IEEE Access  
studies because: a) we use Transformer-based model in the proposed MTL approach; b) we explore the combination of both polarity and emotion knowledge in the MTL approach for Spanish HS detection.  ...  Although there are some studies on this topic for other languages -e.g.  ...  She is a technical reviewer for several journals and a member of the Program Committee of several major conferences. VOLUME 4, 2016  ... 
doi:10.1109/access.2021.3103697 fatcat:argscoqcivgmdflfsf5erlnugy

Contradiction Detection in Persian Text [article]

Zeinab Rahimi, Mehrnoush ShamsFard
2021 arXiv   pre-print
Considering two above points, in this study, along with a simple rule-base baseline, a novel rule-base system for identifying semantic contradiction along with a Bert base deep contradiction detection  ...  Contradiction in this study includes different types of semantic confrontation, such as conflict and antonymy.  ...  For each input sentence pairs, topics are extracted and then sentence polarity is measured for each topic.  ... 
arXiv:2107.01987v1 fatcat:5qdc56ysejhrhndykph66vnkky

A Transformer-based approach to Irony and Sarcasm detection [article]

Rolandos Alexandros Potamias, Georgios Siolas, Andreas - Georgios Stafylopatis
2019 arXiv   pre-print
Results demonstrate that the proposed methodology achieves state of the art performance under all benchmark datasets, outperforming, even by a large margin, all other methodologies and published studies  ...  Identification of FL schemas in short texts remains largely an unresolved issue in the broader field of Natural Language Processing (NLP), mainly due to their contradictory and metaphorical meaning content  ...  , BERT [17] in two setups: BERT base cased (BERT-Cased) and BERT base uncased (BERT-Uncased) models, and RoBERTa base model.  ... 
arXiv:1911.10401v1 fatcat:2cdsoe7xazbc3elxh7hd4obmpm

Automatic Cyberbullying Detection in Spanish-language Social Networks using Sentiment Analysis Techniques

Rolfy Nixon Montufar Mercado, Hernan Faustino, Eveling Gloria
2018 International Journal of Advanced Computer Science and Applications  
Nowadays there is a wide variety of works focused on the detection of digital texts in the English language, however in the Spanish language there are few studies that address this issue.  ...  This paper aims to detect this cybernetic harassment in social networks, in Spanish language.  ...  Hernandez Li [30] , carried out an investigation on the sentiment analysis in texts based on semantic approaches with linguistic rules for the classification of polarity of texts in Spanish, the classification  ... 
doi:10.14569/ijacsa.2018.090733 fatcat:x52zhgkfgjgong6kj3utxfyche

Is This a Joke? Detecting Humor in Spanish Tweets [chapter]

Santiago Castro, Matías Cubero, Diego Garat, Guillermo Moncecchi
2016 Lecture Notes in Computer Science  
A humor classifier for Spanish tweets is assembled based on supervised learning, reaching a precision of 84% and a recall of 69%.  ...  While humor has been historically studied from a psychological, cognitive and linguistic standpoint, its study from a computational perspective is an area yet to be explored in Computational Linguistics  ...  Classifier Firstly, we split data into % for training and % for later evaluation. Similarly to the works mentioned in this document, we built a humor classifier but for the Spanish language.  ... 
doi:10.1007/978-3-319-47955-2_12 fatcat:pkixdylctbdxhn6qwcdp4zy5la

Character and Word Baselines Systems for Irony Detection in Spanish Short Texts

Gabriela Jasso, Iván V. Meza-Ruíz
2016 Revista de Procesamiento de Lenguaje Natural (SEPLN)  
Es un reto para el Procesamiento de Lenguaje Natural ya que se debe enseñar a un sistema una forma de reconocer y procesar el cambio de polaridad de lo expresado.  ...  En este trabajo nos enfocamos en establecer un sistema base de clasificación usando características simples al nivel de palabras y carácteres para entradas en español de la red social Twitter.  ...  However, to our knowledge there has not been a study of the phenomenon in Spanish. In this work we look to establish the state of the art baselines for irony detection in Spanish.  ... 
dblp:journals/pdln/JassoM16 fatcat:t4tcfczqizctzajapxjnj5yaxi

Detecting Polarizing Language in Twitter using Topic Models and ML Algorithms

Njagi Dennis Gitari, Zhang Zuping
2016 International Journal of Hybrid Information Technology  
In this paper, we investigated the detection of polarizing language in tweets in the event of a disaster.  ...  Our latent Dirichlet allocation (LDA)-based model incorporates external resources in the form of a lexicon of blame-oriented words to induce the generation of polar topics.  ...  Conclusion We modified a topic modeling approach based on LDA and applied the same in detection of blame in polar opinions in short texts in form of Tweets.  ... 
doi:10.14257/ijhit.2016.9.9.20 fatcat:2af7wr7gbjdatntdyvzsu37zsq

Overview of the Task on Irony Detection in Spanish Variants

Reynier Ortega Bueno, Francisco M. Rangel Pardo, Delia Irazú Hernández Farías, Paolo Rosso, Manuel Montes-y-Gómez, José Medina-Pagola
2019 Annual Conference of the Spanish Society for Natural Language Processing  
Moreover, with respect to the previous tasks on irony detection, the messages are not considered as isolated texts but together with a given context (e.g. a headline or a topic).  ...  These subtasks aim at studying the way irony changes across the distinct Spanish variants. We received 14 submissions from 12 teams.  ...  Acknowledgments The work of the fourth author was partially funded by the Spanish MICINN under the research project MISMIS-FAKEnHATE on Misinformation and Miscommunication in social media: FAKE news and  ... 
dblp:conf/sepln/BuenoRFRMM19 fatcat:4vtu2p6g5nhbnpfbe36lrxgbna

Detecting Emotional Evolution on Twitter during the COVID-19 Pandemic Using Text Analysis

Javier Cabezas, Daniela Moctezuma, Alberto Fernández-Isabel, Isaac Martín de Martín de Diego
2021 International Journal of Environmental Research and Public Health  
In this paper, a study carried out in different Spanish speaking countries (Chile, Mexico, Peru, and Spain) is presented, which addresses the manner in which the evolution of the pandemic outbreak has  ...  Governments, for their part, were forced to implement unprecedented mobility restrictions and cease a large part of their economic activities.  ...  Acknowledgments: Special thanks to the Young Academy of Spain and JOF ASSOCIATES INT S.L.U. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/ijerph18136981 fatcat:jp7ecx2bhra6jkcbt6fzvl5p44
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