Sarcasm Recognition

Notes:

Sarcasm recognition is the process of identifying and interpreting instances of sarcasm in natural language text or speech. Sarcasm is a form of irony that involves saying the opposite of what one means, often in a humorous or mocking way. Sarcasm recognition is a challenging task in natural language processing, as sarcasm is often difficult to detect due to its subtle and context-dependent nature.

Sarcasm recognition is used in a variety of applications, such as sentiment analysis, dialogue generation, and social media analysis. For example, sarcasm recognition algorithms can be used to analyze social media posts and comments to identify sarcastic messages, which can help to improve the accuracy of sentiment analysis algorithms. Sarcasm recognition can also be used in dialogue systems to generate more appropriate and natural responses to sarcastic inputs.

  • Computational irony is the use of computational techniques to identify and generate instances of irony in natural language text or speech. Irony is a figure of speech that involves saying the opposite of what one means, often in a humorous or mocking way.
  • Computational sarcasm is a subfield of computational irony that focuses on the use of computational techniques to identify and generate instances of sarcasm in natural language text or speech. Sarcasm is a form of irony that is often used to mock or belittle someone or something, and can be difficult to detect due to its subtle and context-dependent nature.
  • Irony generation is the process of using computational techniques to generate ironic statements or texts. This can involve using machine learning algorithms or pre-defined rules and templates to create ironic sentences or phrases that are appropriate for a given context.
  • Irony recognition is the process of using computational techniques to identify instances of irony in natural language text or speech. This can involve using machine learning algorithms or other techniques to analyze the words, syntax, and context of a given text or speech signal, and to determine whether it contains irony.
  • Irony synthesis is the process of combining irony generation and irony recognition to create a system that can both generate and interpret ironic statements or texts. This can involve using machine learning algorithms to learn the patterns and rules of irony, and to generate and interpret ironic statements in a given context.
  • Sarcasm generation is the process of using computational techniques to generate sarcastic statements or texts. This can involve using machine learning algorithms or pre-defined rules and templates to create sarcastic sentences or phrases that are appropriate for a given context.
  • Sarcasm synthesis is the process of combining sarcasm generation and irony recognition to create a system that can both generate and interpret sarcastic statements or texts. This can involve using machine learning algorithms to learn the patterns and rules of sarcasm, and to generate and interpret sarcastic statements in a given context.

Wikipedia:

References:

See also:

Affective Computing Meta Guide | Computational Humor 2018 | Humor Recognition 2018

Investigations in Computational Sarcasm
A Joshi, P Bhattacharyya, MJ Carman – 2018 – Springer
Sarcasm is defined as verbal irony that is intended to mock or ridicule. Existing sentiment analysis systems show a degraded performance in case of sarcastic text. Hence, computational sarcasm has received attention from the sentiment analysis community …

With 1 Follower I Must Be AWESOME: P. Exploring the Role of Irony Markers in Irony Recognition
D Ghosh, S Muresan – Twelfth International AAAI Conference on Web and …, 2018 – aaai.org
Conversations in social media often contain the use of irony or sarcasm, when the users say the opposite of what they really mean. Irony markers are the meta-communicative clues that inform the reader that an utterance is ironic. We propose a thorough analysis of theoretically …

Sarcasm Generation
A Joshi, P Bhattacharyya, MJ Carman – … in Computational Sarcasm, 2018 – Springer
In the previous chapters, we described our studies to understand the phenomenon of sarcasm, followed by a set of approaches to detect sarcasm. In this chapter, we describe our efforts in a new problem in computational sarcasm: sarcasm generation. We define sarcasm …

Three-way decisions based feature fusion for Chinese irony detection
X Jia, Z Deng, F Min, D Liu – International Journal of Approximate …, 2019 – Elsevier
… Besides, the contribution of each feature to the irony recognition is measured by the information gain, and the effectiveness and stability of the whole feature space is examined by several irony recognition classification tasks …

Understanding the phenomenon of sarcasm
A Joshi, P Bhattacharyya, MJ Carman – … in Computational Sarcasm, 2018 – Springer
In the monograph so far, we introduced computational sarcasm and presented past work related to sarcasm in linguistics and computational linguistics. In this chapter, we aim to understand the phenomenon of sarcasm through three studies. Before we take on the …

Sarcasm Detection Using Contextual Incongruity
A Joshi, P Bhattacharyya, MJ Carman – … in Computational Sarcasm, 2018 – Springer
In the previous chapter, we presented approaches that capture incongruity within target text. However, as observed in errors reported by these approaches, some sarcastic text may require additional contextual information so that the sarcasm to be understood. This is true in …

Online sarcasm and its perception by second language learners: the case of Iraqi EFL learners in Iraq and the UK
D Al-Fatlawi – 2018 – eprints.lancs.ac.uk
… Results also indicate no effect of studying abroad or L2 proficiency upon the sarcasm recognition of those learners. Another finding of the L2 study is … 112 PART 3: Measuring Sarcasm Recognition (L2 Pragmatics Study) …. 114 …

Sarcasm Detection Using Incongruity Within Target Text
A Joshi, P Bhattacharyya, MJ Carman – … in Computational Sarcasm, 2018 – Springer
Prior work in sarcasm detection uses indicators such as (a) unigrams and pragmatic features (such as emoticons, etc.) by González-Ibánez et al.(Proceedings of the 49th annual meeting of the association for computational linguistics: human language technologies: short papers …

Ironic Speech-Evaluating Acoustic Correlates by Means of Speech Synthesis
F Burkhardt, A Steinhilber, B Weiss – Studientexte zur …, 2018 – essv.de
… The preference ratings for each of the ten combinations of irony synthesis strategy were separately tested with binominal tests … [4] GONZÁLEZ-FUENTE, S., P. PILAR, and I. NOVECK: A fine-grained analysis of the acoustic cues involved in verbal irony recognition in French …

Sarcasm Target Identification: Dataset and An Introductory Approach
A Joshi, P Goel, P Bhattacharyya… – Proceedings of the …, 2018 – users.monash.edu.au
… Abstract Past work in computational sarcasm deals primarily with sarcasm detection … 2. Related work Computational sarcasm primarily focuses on sarcasm de- tection: classification of a text as sarcastic or non-sarcastic. Joshi et al …

Weakly supervised induction of affective events by optimizing semantic consistency
H Ding, E Riloff – Thirty-Second AAAI Conference on Artificial …, 2018 – aaai.org
… Understanding the affective state associated with an event is essential for many NLP tasks including narrative text understanding (Goyal, Riloff, and Daumé III 2013; Lehnert 1981), opinion analysis (Deng, Wiebe, and Choi 2014), and sarcasm recognition (Riloff et al. 2013) …

Deep contextualized word representations for detecting sarcasm and irony
S Ili?, E Marrese-Taylor, JA Balazs… – arXiv preprint arXiv …, 2018 – arxiv.org
… A comprehensive survey on au- tomatic sarcasm detection was done by Joshi et al. (2016), while computational irony detection was reviewed by Wallace (2015) … 2015. Computational irony: A sur- vey and new perspectives. Artificial Intelligence Re- view, 43(4):467–483 …

Why is an event affective? classifying affective events based on human needs
H Ding, T Jiang, E Riloff – Workshops at the Thirty-Second AAAI Conference …, 2018 – aaai.org
… tive states. Knowing the affective polarities of events plays an important role in various human language understand- ing tasks such as opinion analysis (Deng, Wiebe, and Choi 2014), sarcasm recognition (Riloff et al. 2013), and …

Sarcasm detection on Facebook: a supervised learning approach
D Das, AJ Clark – Proceedings of the 20th International Conference on …, 2018 – dl.acm.org
… Ph.D. Dissertation. 11. Joseph Tepperman, David Traum, and Shrikanth Narayanan. 2006. ” Yeah Right”: Sarcasm Recognition for Spoken Dialogue Systems. In Ninth International Conference on Spoken Language Processing. 12 …

Affective Representations for Sarcasm Detection
A Agrawal, A An – The 41st International ACM SIGIR Conference on …, 2018 – dl.acm.org
… Consider a few examples of sarcastic text utterances presented in Table 1. Extensive research in psychology points towards a strong cor- relation between affect and sarcasm [3, 8], and while some recent models of computational sarcasm detection [10, 12, 24, 26] incorpo- rate …

Exploring Author Context for Detecting Intended vs Perceived Sarcasm
S Oprea, W Magdy – arXiv preprint arXiv:1910.11932, 2019 – arxiv.org
… and #sarcastic. Most work on computational sarcasm detection extracts lexical and pragmatic cues available in the text being classified (Campbell and Katz, 2012; Riloff et al., 2013; Joshi et al., 2016; Tay et al., 2018). However …

How to be sarcastic in Greek: Typical means of signaling sarcasm in the New Testament and Lucian
MC Pawlak – Humor, 2019 – degruyter.com
AbstractWhile significant debates are still ongoing, modern scholarship has made great strides in describing the nature of verbal irony and the sorts of markers that signal its use. Much of this research, however, has focused on the English language, leaving significant linguistic and …

Harmony and distress: humor, culture, and psychological well-being in south Korean organizations
HS Kim, BAP Plester – Frontiers in psychology, 2018 – frontiersin.org
… organization is based. For example, Davis (2016) study of humor and satire in Australia, Japan, and China illustrates the complexity of humor (satire) recognition and reactions in different cultures and timeframes. Because humor is …

Flâneur or Choraster–A Review of the Travel Narrator in the Formation of the Tourist Experience
S Wearing, S Schweinsberg, P Johnson – Tourism Analysis, 2019 – ingentaconnect.com
… Some authors such as Lisle (2006, pp. 100-101 in Dunn, 2015, p. 31) have suggested that Palin’s encounters with cultural difference are accompanied by a ‘healthy dose of self-irony, recognition that the travel narrative has become superficial in the age of tourism’ …

Investigating satirical discourse processing and comprehension: the role of cognitive, demographic, and pragmatic features
S Skalicky – Language and Cognition, 2019 – cambridge.org
… The role of cultural knowledge during satire detection and comprehension was tested in a recent study investigating satire recognition in a second language (Prichard & Rucynski, 2019) … These responses were also coded as evidence of satire recognition …

Lexical priming in humorous satirical newspaper headlines
S Skalicky – Humor, 2018 – degruyter.com
… Current understandings of satire place strong emphasis on the role that background and pragmatic knowledge play during satire recognition … According to Simpson (2003), satire recognition and comprehension includes three stages: the prime, dialectic, and uptake …

Recognizing Humor in Portuguese: First Steps
A Clemêncio, A Alves, HG Oliveira – EPIA Conference on Artificial …, 2019 – Springer
… Sjobergh and Araki [18] collected a smaller dataset with 6,100 jokes. Mihalcea and Pulman’s [13] dataset included longer jokes as well. Barbieri and Saggion [2] focused on tweets and worked both on humor and irony recognition …

Automatic Detection of Insulting Sentences in Conversation
M Allouch, A Azaria, R Azoulay… – … Conference on the …, 2018 – ieeexplore.ieee.org
… with ASD, or said to him. Thus, we proceed in this overview with some related work on text classifying methods, and we concentrate on work on emotion recognition and sarcasm recognition. Sentiment analysis is the task of …

“When Numbers Matter!”: Detecting Sarcasm in Numerical Portions of Text
A Dubey, L Kumar, A Somani, A Joshi… – Proceedings of the …, 2019 – aclweb.org
… Tepperman et al.(2006) present sarcasm recognition in speech using spectral (average pitch, pitch slope, etc.), prosodic and contextual cues. Carvalho et al … 2006.” yeah right”: sarcasm recognition for spoken dialogue systems …

Exploring software development at the very larg…
A Murgia, M Ortu, P Tourani… – Empirical Software …, 2018 – springerprofessional.de
… (2004) Wordnet affect: an affective extension of wordnet LREC, vol 4, pp 1083–1086. Tepperman J, Traum D, Narayanan SS (2006) “Yeah right”: sarcasm recognition for spoken dialogue systems Proceedings of interspeech, pp 1838–1841 …

Sentiment Analysis Of Movies Reviews Using Improvised Random Forest With Feature Selection
M Kaur – International Journal of Advanced Research in …, 2019 – search.proquest.com
… this paper. Additionally different issues like sarcasm recognition, multilingualism, taking care of acronyms and slang dialect, lexical variety and dynamic word reference dealing with are examined [2]. Prasad AG et al. (2017) The …

Neural and functional correlates of impaired reading ability in schizophrenia
C Dondé, A Martinez, P Sehatpour, GH Patel… – Scientific Reports, 2019 – nature.com
… Phonological processing and reading Fluency were assessed using the Comprehensive Test of Phonological Processing and Woodcock-Johnson reading batteries, respectively. Auditory-related social cognition was assessed using measures of emotion/sarcasm recognition …

Identification of sarcasm using word embeddings and hyperparameters tuning
P Mehndiratta, D Soni – Journal of Discrete Mathematical Sciences …, 2019 – Taylor & Francis
Page 1. © Identification of sarcasm using word embeddings and hyperparameters tuning Pulkit Mehndiratta * Devpriya Soni † Department of Computer Science Jaypee Institute of Information Technology Noida 201309 Uttar Pradesh India …

Towards an annotation scheme for causes of laughter in dialogue
V Maraev, C Howes – 9th International Workshop on Spoken Dialogue …, 2019 – Springer
… Cough 85(65.0):0–77Google Scholar. 22. Tepperman J, Traum D, Narayanan S (2006) “Yeah right”: sarcasm recognition for spoken dialogue systems. In: Ninth international conference on spoken language processingGoogle Scholar. 23 …

Sexual activism and ‘actually existing eroticism’: The politics of victimization and ‘lynching’in Argentina
M Pecheny, L Zaidan, M Lucaccini – International Sociology, 2019 – journals.sagepub.com
Focusing on the case of Argentina, this text discusses two issues. The first refers to the tension between progress in feminist and LGBTIQ+ politics, on the one hand, and erotic-affective practices…

UO-CERPAMID at IroSvA: Impostor Method Adaptation for Irony Detection
D Castro, L Benavides – … of the Iberian Languages Evaluation Forum …, 2019 – ceur-ws.org
… In: Working Notes for CLEF 2013 Conference , Valencia, Spain, September 23-26, 2013. (2013), http://ceur-ws.org/Vol-1179/CLEF2013wn-PAN- Seidman2013.pdf 16. Wallace, BC: Computational irony: A survey and new perspectives. Artif. Intell. Rev. 43(4), 467–483 (2015) …

A Retrospective on Mutual Bootstrapping.
E Riloff, R Jones – AI Magazine, 2018 – search.ebscohost.com
… For example, if rescued is known to be a positive verb, then seeing the conjunction rescued and adopted should lead us to believe that adopted is probably also a positive verb. Research on sarcasm recognition by Riloff et al …

Representing Social Media Users for Sarcasm Detection
YA Kolchinski, C Potts – arXiv preprint arXiv:1808.08470, 2018 – arxiv.org
… Debanjan Ghosh and Smaranda Muresan. 2018. ” with 1 follower i must be awesome: P”. exploring the role of irony markers in irony recognition. arXiv preprint arXiv:1804.05253. Raymond W. Gibbs. 2000. Irony in talk among friends. Metaphor and Symbol, 15(1-2):5–27 …

IIIDYT at SemEval-2018 Task 3: Irony detection in English tweets
E Marrese-Taylor, S Ilic, JA Balazs, Y Matsuo… – arXiv preprint arXiv …, 2018 – arxiv.org
… Semantic Evaluation, SemEval- 2018, New Orleans, LA, USA. Association for Computational Linguistics. Byron C. Wallace. 2015. Computational irony: A sur- vey and new perspectives. Artificial Intelligence Re- view, 43(4):467–483.

Exploring the fine-grained analysis and automatic detection of irony on Twitter
C Van Hee, E Lefever, V Hoste – Language Resources and Evaluation, 2018 – Springer
… We conduct a series of binary classification experiments for automatic irony recognition using a support vector machine (SVM) that exploits a varied feature set and compare this method to a deep learning approach that is based on an LSTM network and (pre-trained) word …

SSN MLRG1 at SemEval-2018 Task 3: Irony Detection in English Tweets Using MultiLayer Perceptron
S Rajalakshmi, SM Rajendram… – Proceedings of The 12th …, 2018 – aclweb.org
… In In Proceedings of the 12th International Workshop on Semantic Evalua- tion (SemEval-2018), New Orleans, LA, USA. Byron C Wallace. 2015. Computational irony: A sur- vey and new perspectives. Artificial Intelligence Re- view, 43(4):467–483. 637

Deep models for converting sarcastic utterances into their non sarcastic interpretation
A Dubey, A Joshi, P Bhattacharyya – Proceedings of the ACM India Joint …, 2019 – dl.acm.org
… CoRR abs/1409.3215 (2014). arXiv:1409.3215 http://arxiv.org/abs/1409.3215 [15] Joseph Tepperman, David R Traum, and Shrikanth Narayanan. 2006. ” yeah right”: sarcasm recognition for spoken dialogue systems.. In INTERSPEECH. 292

All of us phantasmic saviors
JN Hanchey – Communication and Critical/Cultural Studies, 2018 – Taylor & Francis
… be able to reject the attempts of everyone else. Through irony, recognition of the fantasy can counterintuitively work to shore up the foreclosures on which the fantasy depends. Irony allows a US American volunteer to “avoid …

Exploring Machine Learning Techniques for Irony Detection
ZL CHIA, M Ptaszynski, F Masui – ????????????? ?? …, 2019 – jstage.jst.go.jp
… Computational Linguistics (2018) [Tepperman 06] Joseph Tepperman, David Traum, and Shrikanth Narayanan, “YEAH RIGHT”: Sarcasm Recognition for Spoken Dialogue Systems, Interspeech 2006, ICSLP (2006) [Bouazizi 16 …

More than words: Social cognition across variants of primary progressive aphasia
S Fittipaldi, A Ibáñez, S Baez, F Manes… – Neuroscience & …, 2019 – Elsevier
Skip to main content …

Risk perceptions and emotional stability in response to Cyclone Debbie: an analysis of Twitter data
A Bec, S Becken – Journal of Risk Research, 2019 – Taylor & Francis
AbstractIn March 2017, a category 4 cyclone, ‘Cyclone Debbie’, made landfall across the Great Barrier Reef (GBR) region of Australia. Drawing on the social amplification of risk framework and the c…

Chat-Box: Proposing a Mood Analyzer for Individuals with Social Interaction Disabilities
B Gupta, M Saxon, T McDaniel… – … Conference on Human …, 2018 – Springer
… their compositionality. In: Advances in Neural Information Processing Systems (2013)Google Scholar. 35. Tepperman, J., Traum, D., Narayanan, S.: Yeah right: sarcasm recognition for spoken dialogue systems. In: Proceedings …

Theoretical and Methodological Advances in Semi-supervised Learning and the Class-Imbalance Problem Copyright Free Version
J Ortigosa-Hernández – 2018 – sc.ehu.es
… Sev- eral examples of binary classification problems can be found in the literature: (i) intrusion detection systems [14] for computer security violations, where a single transaction is classified either as normal or as a threat, (ii) sarcasm recognition [15], where sentences are …

Deep learning in sentiment analysis
D Tang, M Zhang – Deep Learning in Natural Language Processing, 2018 – Springer
Sentiment analysis (also known as opinion mining) is an active research area in natural language processing. The task aims at identifying, extracting, and organizing sentiments from user-generated…

Which contextual and sociocultural information predict irony perception?
E Rivière, M Champagne-Lavau – Discourse Processes, 2019 – Taylor & Francis
ABSTRACTThe present study in French sought to investigate which factors predict irony perception most efficiently. An experiment was developed following three steps. The first two steps focused on …

Evaluation of Different Sarcasm Detection Models for Arabic News Headlines
P Mohammed, Y Eid, M Badawy, A Hassan – International Conference on …, 2019 – Springer
… no. Iccmc, pp. 587–591 (2018)Google Scholar. 21. Ghosh, D., Muresan, S.: With 1 follower I must be AWESOME :P. Exploring the role of irony markers in irony recognition. Assoc. Adv. Artificial Intell. (2018)Google Scholar. 22 …

An Exploration of Sarcasm Detection Using Deep Learning
E Savini – 2019 – webthesis.biblio.polito.it
… syntactic cues that could be used as features for sarcasm detection. In fact, at the beginning, sarcasm recognition was considered as a simple text classification task … based on pre-trained CNN to retrieve sentiment, emotion and personality features for sarcasm recognition …

Detecting Vocal Irony
J Deng, B Schuller – … Technologies for the Challenges of the …, 2018 – books.google.com
… IEEE Trans. Affect. Comput. 7 (2), 190–202 (2016) González-Fuente, S., Pilar, P., Noveck, I.: A fine-grained analysis of the acoustic cues involved in verbal irony recognition in French. In: Proceedings of the Speech Prosody, pp …

What’s in a word: Sounding sarcastic in British English
A Chen, L Boves – Journal of the International Phonetic Association, 2018 – cambridge.org
Page 1. What’s in a word: Sounding sarcastic in British English Aoju Chen Utrecht University aoju.chen@uu.nl Lou Boves Radboud University Nijmegen l.boves@ru.nl Using a simulated telephone conversation task, we elicited …

Topic-Enriched Word Embeddings for Sarcasm Identification
A Onan – Computer Science On-line Conference, 2019 – Springer
… Decis. Support Syst. 68, 26–38 (2014)CrossRefGoogle Scholar. 3. Joshi, A., Bhattacharyya, P., Carman, MJ: Understanding the phenomenon of sarcasm. In: Joshi, A., Bhattacharyya, P., Carman, MJ (eds.) Investigations in Computational Sarcasm, pp. 33–57 …

Lancaster at SemEval-2018 Task 3: Investigating Ironic Features in English Tweets
E Dearden, A Baron – 2018 – eprints.lancs.ac.uk
… In Proceedings of the 12th Interna- tional Workshop on Semantic Evaluation, SemEval- 2018, New Orleans, LA, USA. Association for Computational Linguistics. Byron C. Wallace. 2015. Computational irony: A survey and new perspectives. Artif. Intell. Rev., 43(4):467–483 …

Social cognition and self-other distinctions in neuropsychiatry: insights from schizophrenia and Tourette syndrome
CM Eddy – Progress in Neuro-Psychopharmacology and …, 2018 – Elsevier

FAID: Feature Aftermath for Irony Discernment
R Bhargava, A Agarwal… – 2019 9th International …, 2019 – ieeexplore.ieee.org
… pages 97–106. ACM, 2015. [13] J. Tepperman, DR Traum, and S. Narayanan. ” yeah right”: sarcasm recognition for spoken dialogue systems. In INTERSPEECH, 2006. [14] O. Tsur, D. Davidov, and A. Rappoport. Icwsm-a great …

New Technologies to Enhance Computer Generated Interactive Virtual Humans
KT Yao, DM Davis, JJ Liu, NJ Kaimakis – the Proceedings of the SISO …, 2018 – hpc-educ.org
… capabilities. Another limitation is the need for large labeled training dataset. Large datasets are often easy to find, but labeling is often a labor intensive process, cf. discussion of “sarcasm” recognition below. Researchers are …

Computational Models for Irony Detection in Three Spanish Variants
S Frenda, V Patti – 2019 – ceur-ws.org
… In: Proceedings of The 12th International Workshop on Semantic Evaluation. pp. 39–50 (2018) 46. Wallace, BC: Computational irony: A survey and new perspectives. Artificial Intelligence Review 43(4), 467–483 (2015) 47. Wallace …

Sarcasm analysis using conversation context
D Ghosh, AR Fabbri, S Muresan – Computational Linguistics, 2018 – MIT Press
Create a new account. Email. Returning user. Can’t sign in? Forgot your password? Enter your email address below and we will send you the reset instructions. Email. Cancel. If the address matches an existing account you will …

Sarcasm Detection on Flickr Using a CNN
D Das, AJ Clark – Proceedings of the 2018 International Conference on …, 2018 – dl.acm.org
… arXiv preprint arXiv:1709.01042 (2017). [23] Joseph Tepperman, David Traum, and Shrikanth Narayanan. 2006. ” Yeah Right”: Sarcasm Recognition for Spoken Dialogue Systems. In Ninth International Conference on Spoken Language Processing …

Enriching Affect Analysis Through Emotion and Sarcasm Detection
A Agrawal – 2018 – yorkspace.library.yorku.ca
… emotion classification and emotion similarity tasks. Third, we investigate the problem of computational sarcasm detection. Generally … 4 Page 23. In this thesis, we seek to address the challenging task of computational sarcasm detection …

Prediction of Dialogue Success with Spectral and Rhythm Acoustic Features Using DNNS and SVMS
A Lykartsis, M Kotti, A Papangelis… – 2018 IEEE Spoken …, 2018 – ieeexplore.ieee.org
… pp. 210–217. [16] Joseph Tepperman, David Traum, and Shrikanth Narayanan, “Yeah right: Sarcasm recognition for spo- ken dialogue systems,” in Ninth International Confer- ence on Spoken Language Processing, 2006. [17 …

CASCADE: Contextual sarcasm detection in online discussion forums
D Hazarika, S Poria, S Gorantla, E Cambria… – arXiv preprint arXiv …, 2018 – arxiv.org
Page 1. CASCADE: Contextual Sarcasm Detection in Online Discussion Forums Devamanyu Hazarika School of Computing, National University of Singapore hazarika@comp.nus.edu.sg Soujanya Poria Artificial Intelligence …

Semeval-2018 task 3: Irony detection in english tweets
C Van Hee, E Lefever, V Hoste – SemEval-2018 workshop at the 16th …, 2018 – core.ac.uk
Page 1. Proceedings of the 12th International Workshop on Semantic Evaluation (SemEval-2018), pages 39–50 New Orleans, Louisiana, June 5–6, 2018. ©2018 Association for Computational Linguistics SemEval-2018 Task 3: Irony Detection in English Tweets …

Learning representations for sentiment classification using Multi-task framework
H Meisheri, H Khadilkar – Proceedings of the 9th Workshop on …, 2018 – aclweb.org
Page 1. Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, pages 299–308 Brussels, Belgium, October 31, 2018. c 2018 Association for Computational Linguistics https://doi.org/10.18653/v1/P17 299 …

Interpreting Verbal Irony: Linguistic Strategies and the Connection to theType of Semantic Incongruity
D Ghosh, E Musi, K Upasani, S Muresan – arXiv preprint arXiv:1911.00891, 2019 – arxiv.org
Page 1. Interpreting Verbal Irony: Linguistic Strategies and the Connection to the Type of Semantic Incongruity Debanjan Ghosh?1, Elena Musi2, Kartikeya Upasani3, Smaranda Muresan4 1 McGovern Institute for Brain Research …

Fool’s Errand: Looking at April Fools Hoaxes as Disinformation through the Lens of Deception and Humour
E Dearden, A Baron – 2019 – eprints.lancs.ac.uk
Page 1. Fool’s Errand: Looking at April Fools Hoaxes as Disinformation through the Lens of Deception and Humour Edward Dearden and Alistair Baron Lancaster University, UK initial.surname@lancaster.ac.uk Abstract. Every …

Automatic detection of cyberbullying in social media text
C Van Hee, G Jacobs, C Emmery, B Desmet, E Lefever… – PloS one, 2018 – journals.plos.org
While social media offer great communication opportunities, they also increase the vulnerability of young people to threatening situations online. Recent studies report that cyberbullying constitutes a growing problem among youngsters. Successful prevention depends on the …

“Living Room” and “Family Gaze” in Contemporary Israeli Art: Comparative Perspectives on Cultural-Identity Representations
Y Guilat – Israel Studies, 2019 – JSTOR
… Non- hegemonic Museology discourse Aesthetics, Auto- ethnography, Art history Hidden and explicit memories, Trauma, Irony, Recognition, Self-criticism, Intersectional identities, Contested memories White cube/ Formal display Photography, Drawing, Video, Painting …

Irony in Translation
A ?ovi? – 2018 – repozitorij.unizd.hr
… considers translators as essential mediators in that same learning process: “Translators as experts in both cultures can, with the right textual choices, strengthen the irony recognition process of the target readers and familiarize them with this literary device” (Haapakoski 135) …

The detection and handling of verbal irony in human-computer interaction: a comparison between four chatbots
IJM Weerts – 2018 – dspace.library.uu.nl
Page 1. UTRECHT UNIVERSITY INGRID WEERTS (5594863) BACHELOR THESIS BSC ARTIFICIAL INTELLIGENCE The detection and handling of verbal irony in human-computer interaction: a comparison between four chatbots First assessor: Dr. Frans ADRIAANS …

Analyzing Prosody with Legendre Polynomial Coefficients
R Rakov – 2019 – academicworks.cuny.edu
Page 1. City University of New York (CUNY) CUNY Academic Works Dissertations, Theses, and Capstone Projects Graduate Center 5-2019 Analyzing Prosody with Legendre Polynomial Coefficients Rachel Rakov The Graduate Center, City University of New York …

Using sentiment analysis to define twitter political users’ classes and their homophily during the 2016 American presidential election
JA Caetano, HS Lima, MF Santos… – Journal of Internet …, 2018 – jisajournal.springeropen.com
This paper proposes an analysis of political homophily among Twitter users during the 2016 American Presidential Election. We collected 4.9 million tweets of 18450 users and their contact network from August 2016 to November 2016. We defined six user classes regarding their …

Machine learning methods for understanding social media communication: modeling irony and emojis
F Barbieri – 2018 – tdx.cat
Page 1. Machine Learning Methods for Understanding Social Media Communication: Modeling Irony and Emojis Francesco Barbieri TESI DOCTORAL UPF / ANY 2017 DIRECTOR DE LA TESI Horacio Saggion Departament DTIC Page 2. Page 3. To Andrea, Semprepresente iii …

Overview of the task on irony detection in spanish variants
R Ortega-Bueno, F Rangel… – Proceedings of the …, 2019 – ceur-ws.org
Page 1. Overview of the Task on Irony Detection in Spanish Variants Reynier Ortega-Bueno1, Francisco Rangel2,3, Delia Irazú Hernández Far?as4, Paolo Rosso3, Manuel Montes-y-Gómez4, and José E. Medina-Pagola5 1 …

Processing of non-contrastive subphonemic features in French homophonous utterances: An MMN study
N Do Carmo-Blanco, M Hoen, S Pota, E Spinelli… – Journal of …, 2019 – Elsevier
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Vocal emotion identification by children using cochlear implants, relations to voice quality, and musical interests
T Waaramaa, T Kukkonen, S Mykkänen… – Journal of Speech …, 2018 – ASHA
LOGIN TO YOUR ACCOUNT. Member Login | Register. login. Email*. Password*. Forgot password? Reset it here. Keep me logged in. Fields with * are mandatory. Don’t have an account? Create one here. Change Password. Old …

Addressing the challenge of verbal irony: Getting serious about sarcasm training
P Pexman, L Reggin, K Lee – Languages, 2019 – mdpi.com
In verbal irony, the speaker’s intended meaning can be counterfactual to the literal meaning of their words. This form of figurative language can help speakers achieve a number of communicative aims, but also presents an interpretive challenge for some listeners. There is …

Deep learning for sentiment analysis: A survey
L Zhang, S Wang, B Liu – Wiley Interdisciplinary Reviews: Data …, 2018 – Wiley Online Library
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Modulation of cognitive and emotional control in age-related mild-to-moderate hearing loss
A Zinchenko, P Kanske, C Obermeier… – Frontiers in …, 2018 – frontiersin.org
Progressive hearing loss is a common phenomenon in healthy ageing and may affect the perception of emotions expressed in speech. Elderly with mild to moderate hearing loss often rate emotional expressions as less emotional and display reduced activity in emotion-sensitive …

Managerial hubris detection: the case of Enron
E Eckhaus, Z Sheaffer – Risk Management, 2018 – Springer
Hubris is a known risk for leadership failure. We show that hubristic tendencies can be detected semantically ex-ante in textual reports, and offer a novel methodology aimed at detecting real-time…

Perception and prediction of speaker appeal–A single speaker study
A Cullen, A Hines, N Harte – Computer Speech & Language, 2018 – Elsevier
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Identifying Key Topics Bearing Negative Sentiment on Twitter: Insights Concerning the 2015-2016 Zika Epidemic
R Mamidi, M Miller, T Banerjee… – JMIR public health …, 2019 – publichealth.jmir.org
A multidisciplinary journal that focuses on public health and technology, public health informatics, mass media campaigns, surveillance, and innovation in public health practice and research. Also dedicated to rapid open data sharing during epidemics.

Tweet Irony Detection Using Ensembles of Word Level Attentive Long Short-term Memory and Convolutional Neural Network
X Zhao, B Xu, D Zheng, S Li – 2018 14th International …, 2018 – ieeexplore.ieee.org
… the Association for Computational Linguistics, 2014, pp. 56–64. [6] BC Wallace, “Computational irony: A survey and new perspectives,” Artificial Intelligence Review, vol. 43, no. 4, pp. 467–483, 2015. [7] C. Van Hee, E. Lefever …

Detecting Categories of Cyber-Harassment
Z Rahaman – 2018 – search.proquest.com
Page 1. THE UNIVERSITY OF TULSA THE GRADUATE SCHOOL DETECTING CATEGORIES OF CYBER-HARASSMENT by Zenefa Rahaman A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy …

Sarcasm classification: A novel approach by using Content Based Feature Selection Method
HMK Kumar, BS Harish – Procedia computer science, 2018 – Elsevier
Page 1. ScienceDirect Available online at www.sciencedirect.com 8th International Conference on Advances in Computing and Communication (ICACC-2018) Procedia Computer Science 143 (2018) 378–386 1877-0509 © 2018 The Authors …

Effectiveness of data-driven induction of semantic spaces and traditional classifiers for sarcasm detection
MA Di Gangi, GL Bosco, G Pilato – Natural Language Engineering, 2019 – cambridge.org
Page 1. Natural Language Engineering (2019), 25, pp. 257–285 doi:10.1017/ S1351324919000019 ARTICLE Effectiveness of data-driven induction of semantic spaces and traditional classifiers for sarcasm detection Mattia Antonino …

Social perception and neuropsychological deficits in mild cognitive impairment
SI Fernandez – 2018 – researchcommons.waikato.ac.nz
Page 1. http://researchcommons.waikato.ac.nz/ Research Commons at the University of Waikato Copyright Statement: The digital copy of this thesis is protected by the Copyright Act 1994 (New Zealand). The thesis may be consulted …

An exploratory qualitative and quantitative analysis of emotions in issue report comments of open source systems
A Murgia, M Ortu, P Tourani, B Adams… – Empirical Software …, 2018 – Springer
Software development—just like any other human collaboration—inevitably evokes emotions like joy or sadness, which are known to affect the group dynamics within a team. Today, little is known about…

We Usually Don’t Like Going to the Dentist: Using Common Sense to Detect Irony on Twitter
C Van Hee, E Lefever, V Hoste – Computational Linguistics, 2018 – MIT Press
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Humorous Situations Created By Flouting Maxim Of Quality In Deadpool
A IRJAYANTI – 2018 – core.ac.uk
Page 1. i HUMOROUS SITUATIONS CREATED BY FLOUTING MAXIM OF QUALITY IN DEADPOOL AN UNDERGRADUATE THESIS Presented as Partial Fulfillment of the Requirements for the Degree of Sarjana Sastra in English Letters By ADE DWI IRJAYANTI …

Neuroimaging of Affective Empathy
AE Hillis, KP Rankin – 2019 – frontiersin.org
Page 1. NEUROIMAGING OF AFFECTIVE EMPATHY AND EMOTIONAL COMMUNICATION EDITED BY : Argye E. Hillis and Katherine P. Rankin PUBLISHED IN : Frontiers in Neurology Page 2. 1 January 2019 | Neuroimaging of Affective Empathy Frontiers in Neurology …