📰 Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis 2018: all accepted papers

50 papers · the most cited first · ← Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis 2018

1. Deep contextualized word representations for detecting sarcasm and ironySuzana Ilić, Edison Marrese-Taylor, Jorge Balazs et al.122 citations · our summary
2. Exploring and Learning Suicidal Ideation Connotations on Social Media with Deep Learning ↗Ramit Sawhney, Prachi Manchanda, Puneet Mathur et al.115 citations
3. Emo2Vec: Learning Generalized Emotion Representation by Multi-task Training ↗Peng Xu, Andrea Madotto, Chien-Sheng Wu et al.82 citations
4. Self-Attention: A Better Building Block for Sentiment Analysis Neural Network Classifiers ↗Artaches Ambartsoumian, Fred Popowich65 citations
5. IEST: WASSA-2018 Implicit Emotions Shared Task ↗Roman Klinger, Orphée De Clercq, Saif Mohammad et al.64 citations
6. Not Just Depressed: Bipolar Disorder Prediction on Reddit ↗Ivan Sekulic, Matej Gjurković, Jan Šnajder56 citations
7. NLP at IEST 2018: BiLSTM-Attention and LSTM-Attention via Soft Voting in Emotion Classification ↗Qimin Zhou, Hao Wu45 citations
8. Sentiment analysis under temporal shift ↗Jan Lukes, Anders Søgaard35 citations
9. Super Characters: A Conversion from Sentiment Classification to Image Classification ↗Baohua Sun, Lin Yang, Patrick Dong et al.33 citations
10. Aspect Based Sentiment Analysis into the Wild ↗Caroline Brun, Vassilina Nikoulina31 citations
11. Disney at IEST 2018: Predicting Emotions using an Ensemble ↗Wojciech Witon, Pierre Colombo, Ashutosh Modi et al.28 citations
12. Arabizi sentiment analysis based on transliteration and automatic corpus annotation ↗Imane Guellil, Ahsan Adeel, Faical Azouaou et al.26 citations
13. Creating a Dataset for Multilingual Fine-grained Emotion-detection Using Gamification-based Annotation ↗Emily Öhman, Kaisla Kajava, Jörg Tiedemann et al.20 citations
14. Dual Memory Network Model for Biased Product Review Classification ↗Yunfei Long, Mingyu Ma, Qin Lu et al.19 citations
15. Homonym Detection For Humor Recognition In Short Text ↗Sven van den Beukel, Lora Aroyo18 citations
16. Topic-Specific Sentiment Analysis Can Help Identify Political Ideology ↗Sumit Bhatia, Deepak P17 citations
17. Words Worth: Verbal Content and Hirability Impressions in YouTube Video Resumes ↗Skanda Muralidhar, Laurent Nguyen, Daniel Gatica-Perez17 citations
18. NTUA-SLP at IEST 2018: Ensemble of Neural Transfer Methods for Implicit Emotion Classification ↗Alexandra Chronopoulou, Aikaterini Margatina, Christos Baziotis et al.15 citations
19. Sentylic at IEST 2018: Gated Recurrent Neural Network and Capsule Network Based Approach for Implicit Emotion Detection ↗Prabod Rathnayaka, Supun Abeysinghe, Chamod Samarajeewa et al.15 citations
20. IIIDYT at IEST 2018: Implicit Emotion Classification With Deep Contextualized Word Representations ↗Jorge Balazs, Edison Marrese-Taylor, Yutaka Matsuo13 citations
21. Identifying Opinion-Topics and Polarity of Parliamentary Debate Motions ↗Gavin Abercrombie, Riza Theresa Batista-Navarro13 citations
22. Language Independent Sentiment Analysis with Sentiment-Specific Word Embeddings ↗Carl Saroufim, Akram Almatarky, Mohammad Abdel Hady12 citations
23. Learning Comment Controversy Prediction in Web Discussions Using Incidentally Supervised Multi-Task CNNs ↗Nils Rethmeier, Marc Hübner, Leonhard Hennig12 citations
24. Amobee at IEST 2018: Transfer Learning from Language Models ↗Alon Rozental, Daniel Fleischer, Zohar Kelrich10 citations
25. Ternary Twitter Sentiment Classification with Distant Supervision and Sentiment-Specific Word Embeddings ↗Mats Byrkjeland, Frederik Gørvell de Lichtenberg, Björn Gambäck9 citations
26. DataSEARCH at IEST 2018: Multiple Word Embedding based Models for Implicit Emotion Classification of Tweets with Deep Learning ↗Yasas Senarath, Uthayasanker Thayasivam8 citations
27. Fast Approach to Build an Automatic Sentiment Annotator for Legal Domain using Transfer Learning ↗Viraj Salaka, Menuka Warushavithana, Nisansa de Silva et al.7 citations
28. NL-FIIT at IEST-2018: Emotion Recognition utilizing Neural Networks and Multi-level Preprocessing ↗Samuel Pecar, Michal Farkas, Marian Simko et al.7 citations
29. HUMIR at IEST-2018: Lexicon-Sensitive and Left-Right Context-Sensitive BiLSTM for Implicit Emotion Recognition ↗Behzad Naderalvojoud, Alaettin Ucan, Ebru Akcapinar Sezer6 citations
30. UBC-NLP at IEST 2018: Learning Implicit Emotion With an Ensemble of Language Models ↗Hassan Alhuzali, Mohamed Elaraby, Muhammad Abdul-Mageed6 citations
31. The Role of Emotions in Native Language Identification ↗Ilia Markov, Vivi Nastase, Carlo Strapparava et al.5 citations
32. UTFPR at IEST 2018: Exploring Character-to-Word Composition for Emotion Analysis ↗Gustavo Paetzold5 citations
33. BrainT at IEST 2018: Fine-tuning Multiclass Perceptron For Implicit Emotion Classification ↗Vachagan Gratian, Marina Haid4 citations
34. Learning representations for sentiment classification using Multi-task framework ↗Hardik Meisheri, Harshad Khadilkar4 citations
35. Linking News Sentiment to Microblogs: A Distributional Semantics Approach to Enhance Microblog Sentiment Classification ↗Tobias Daudert, Paul Buitelaar4 citations
36. Measuring Issue Ownership using Word Embeddings ↗Amaru Cuba Gyllensten, Magnus Sahlgren4 citations
37. EmotiKLUE at IEST 2018: Topic-Informed Classification of Implicit Emotions ↗Thomas Proisl, Philipp Heinrich, Besim Kabashi et al.3 citations
38. HGSGNLP at IEST 2018: An Ensemble of Machine Learning and Deep Neural Architectures for Implicit Emotion Classification in Tweets ↗Wenting Wang3 citations
39. Predicting Adolescents' Educational Track from Chat Messages on Dutch Social Media ↗Lisa Hilte, Walter Daelemans, Reinhild Vandekerckhove3 citations
40. USI-IR at IEST 2018: Sequence Modeling and Pseudo-Relevance Feedback for Implicit Emotion Detection ↗Esteban Ríssola, Anastasia Giachanou, Fabio Crestani3 citations
41. What Makes You Stressed? Finding Reasons From Tweets ↗Reshmi Gopalakrishna Pillai, Mike Thelwall, Constantin Orasan3 citations
42. Leveraging Writing Systems Change for Deep Learning Based Chinese Emotion Analysis ↗Rong Xiang, Yunfei Long, Qin Lu et al.2 citations
43. Sentiment Expression Boundaries in Sentiment Polarity Classification ↗Rasoul Kaljahi, Jennifer Foster2 citations
44. UWB at IEST 2018: Emotion Prediction in Tweets with Bidirectional Long Short-Term Memory Neural Network ↗Pavel Přibáň, Jiří Martínek2 citations
45. EmojiGAN: learning emojis distributions with a generative model ↗Bogdan Mazoure, Thang Doan, Saibal Ray1 citation
46. SINAI at IEST 2018: Neural Encoding of Emotional External Knowledge for Emotion Classification ↗Flor Miriam Plaza-del-Arco, Eugenio Martínez-Cámara, Maite Martin et al.1 citation
47. EmoNLP at IEST 2018: An Ensemble of Deep Learning Models and Gradient Boosting Regression Tree for Implicit Emotion Prediction in Tweets ↗Man Liu
48. Identifying Affective Events and the Reasons for their Polarity ↗Ellen Riloff
49. Implicit Subjective and Sentimental Usages in Multi-sense Word Embeddings ↗Yuqi Sun, Haoyue Shi, Junfeng Hu
50. Saying no but meaning yes: negation and sentiment analysis in Basque ↗Jon Alkorta, Koldo Gojenola, Mikel Iruskieta

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