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title: "Workshop on Computational Approaches to Subjectivity,"
description: "All 50 papers of Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis 2018, the most cited first…"
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# 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](https://md.research.elamur.ai/free/en/venues/wassa/2018/)

1. **[Deep contextualized word representations for detecting sarcasm and irony](https://md.research.elamur.ai/free/en/papers/ilic-2018-deep-contextualized-word-representations-detecting/)**Suzana 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 ↗](https://aclanthology.org/W18-6223/)**Ramit Sawhney, Prachi Manchanda, Puneet Mathur et al.*115 citations*
3. **[Emo2Vec: Learning Generalized Emotion Representation by Multi-task Training ↗](https://aclanthology.org/W18-6243/)**Peng Xu, Andrea Madotto, Chien-Sheng Wu et al.*82 citations*
4. **[Self-Attention: A Better Building Block for Sentiment Analysis Neural Network Classifiers ↗](https://aclanthology.org/W18-6219/)**Artaches Ambartsoumian, Fred Popowich*65 citations*
5. **[IEST: WASSA-2018 Implicit Emotions Shared Task ↗](https://aclanthology.org/W18-6206/)**Roman Klinger, Orphée De Clercq, Saif Mohammad et al.*64 citations*
6. **[Not Just Depressed: Bipolar Disorder Prediction on Reddit ↗](https://aclanthology.org/W18-6211/)**Ivan Sekulic, Matej Gjurković, Jan Šnajder*56 citations*
7. **[NLP at IEST 2018: BiLSTM-Attention and LSTM-Attention via Soft Voting in Emotion Classification ↗](https://aclanthology.org/W18-6226/)**Qimin Zhou, Hao Wu*45 citations*
8. **[Sentiment analysis under temporal shift ↗](https://aclanthology.org/W18-6210/)**Jan Lukes, Anders Søgaard*35 citations*
9. **[Super Characters: A Conversion from Sentiment Classification to Image Classification ↗](https://aclanthology.org/W18-6245/)**Baohua Sun, Lin Yang, Patrick Dong et al.*33 citations*
10. **[Aspect Based Sentiment Analysis into the Wild ↗](https://aclanthology.org/W18-6217/)**Caroline Brun, Vassilina Nikoulina*31 citations*
11. **[Disney at IEST 2018: Predicting Emotions using an Ensemble ↗](https://aclanthology.org/W18-6236/)**Wojciech Witon, Pierre Colombo, Ashutosh Modi et al.*28 citations*
12. **[Arabizi sentiment analysis based on transliteration and automatic corpus annotation ↗](https://aclanthology.org/W18-6249/)**Imane Guellil, Ahsan Adeel, Faical Azouaou et al.*26 citations*
13. **[Creating a Dataset for Multilingual Fine-grained Emotion-detection Using Gamification-based Annotation ↗](https://aclanthology.org/W18-6205/)**Emily Öhman, Kaisla Kajava, Jörg Tiedemann et al.*20 citations*
14. **[Dual Memory Network Model for Biased Product Review Classification ↗](https://aclanthology.org/W18-6220/)**Yunfei Long, Mingyu Ma, Qin Lu et al.*19 citations*
15. **[Homonym Detection For Humor Recognition In Short Text ↗](https://aclanthology.org/W18-6242/)**Sven van den Beukel, Lora Aroyo*18 citations*
16. **[Topic-Specific Sentiment Analysis Can Help Identify Political Ideology ↗](https://aclanthology.org/W18-6212/)**Sumit Bhatia, Deepak P*17 citations*
17. **[Words Worth: Verbal Content and Hirability Impressions in YouTube Video Resumes ↗](https://aclanthology.org/W18-6247/)**Skanda Muralidhar, Laurent Nguyen, Daniel Gatica-Perez*17 citations*
18. **[NTUA-SLP at IEST 2018: Ensemble of Neural Transfer Methods for Implicit Emotion Classification ↗](https://aclanthology.org/W18-6209/)**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 ↗](https://aclanthology.org/W18-6237/)**Prabod Rathnayaka, Supun Abeysinghe, Chamod Samarajeewa et al.*15 citations*
20. **[IIIDYT at IEST 2018: Implicit Emotion Classification With Deep Contextualized Word Representations ↗](https://aclanthology.org/W18-6208/)**Jorge Balazs, Edison Marrese-Taylor, Yutaka Matsuo*13 citations*
21. **[Identifying Opinion-Topics and Polarity of Parliamentary Debate Motions ↗](https://aclanthology.org/W18-6241/)**Gavin Abercrombie, Riza Theresa Batista-Navarro*13 citations*
22. **[Language Independent Sentiment Analysis with Sentiment-Specific Word Embeddings ↗](https://aclanthology.org/W18-6204/)**Carl Saroufim, Akram Almatarky, Mohammad Abdel Hady*12 citations*
23. **[Learning Comment Controversy Prediction in Web Discussions Using Incidentally Supervised Multi-Task CNNs ↗](https://aclanthology.org/W18-6246/)**Nils Rethmeier, Marc Hübner, Leonhard Hennig*12 citations*
24. **[Amobee at IEST 2018: Transfer Learning from Language Models ↗](https://aclanthology.org/W18-6207/)**Alon Rozental, Daniel Fleischer, Zohar Kelrich*10 citations*
25. **[Ternary Twitter Sentiment Classification with Distant Supervision and Sentiment-Specific Word Embeddings ↗](https://aclanthology.org/W18-6215/)**Mats Byrkjeland, Frederik Gørvell de Lichtenberg, Björn Gambäck*9 citations*
26. **[DataSEARCH at IEST 2018: Multiple Word Embedding based Models for Implicit Emotion Classification of Tweets with Deep Learning ↗](https://aclanthology.org/W18-6230/)**Yasas Senarath, Uthayasanker Thayasivam*8 citations*
27. **[Fast Approach to Build an Automatic Sentiment Annotator for Legal Domain using Transfer Learning ↗](https://aclanthology.org/W18-6238/)**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 ↗](https://aclanthology.org/W18-6231/)**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 ↗](https://aclanthology.org/W18-6225/)**Behzad Naderalvojoud, Alaettin Ucan, Ebru Akcapinar Sezer*6 citations*
30. **[UBC-NLP at IEST 2018: Learning Implicit Emotion With an Ensemble of Language Models ↗](https://aclanthology.org/W18-6250/)**Hassan Alhuzali, Mohamed Elaraby, Muhammad Abdul-Mageed*6 citations*
31. **[The Role of Emotions in Native Language Identification ↗](https://aclanthology.org/W18-6218/)**Ilia Markov, Vivi Nastase, Carlo Strapparava et al.*5 citations*
32. **[UTFPR at IEST 2018: Exploring Character-to-Word Composition for Emotion Analysis ↗](https://aclanthology.org/W18-6224/)**Gustavo Paetzold*5 citations*
33. **[BrainT at IEST 2018: Fine-tuning Multiclass Perceptron For Implicit Emotion Classification ↗](https://aclanthology.org/W18-6235/)**Vachagan Gratian, Marina Haid*4 citations*
34. **[Learning representations for sentiment classification using Multi-task framework ↗](https://aclanthology.org/W18-6244/)**Hardik Meisheri, Harshad Khadilkar*4 citations*
35. **[Linking News Sentiment to Microblogs: A Distributional Semantics Approach to Enhance Microblog Sentiment Classification ↗](https://aclanthology.org/W18-6216/)**Tobias Daudert, Paul Buitelaar*4 citations*
36. **[Measuring Issue Ownership using Word Embeddings ↗](https://aclanthology.org/W18-6221/)**Amaru Cuba Gyllensten, Magnus Sahlgren*4 citations*
37. **[EmotiKLUE at IEST 2018: Topic-Informed Classification of Implicit Emotions ↗](https://aclanthology.org/W18-6234/)**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 ↗](https://aclanthology.org/W18-6229/)**Wenting Wang*3 citations*
39. **[Predicting Adolescents' Educational Track from Chat Messages on Dutch Social Media ↗](https://aclanthology.org/W18-6248/)**Lisa Hilte, Walter Daelemans, Reinhild Vandekerckhove*3 citations*
40. **[USI-IR at IEST 2018: Sequence Modeling and Pseudo-Relevance Feedback for Implicit Emotion Detection ↗](https://aclanthology.org/W18-6233/)**Esteban Ríssola, Anastasia Giachanou, Fabio Crestani*3 citations*
41. **[What Makes You Stressed? Finding Reasons From Tweets ↗](https://aclanthology.org/W18-6239/)**Reshmi Gopalakrishna Pillai, Mike Thelwall, Constantin Orasan*3 citations*
42. **[Leveraging Writing Systems Change for Deep Learning Based Chinese Emotion Analysis ↗](https://aclanthology.org/W18-6214/)**Rong Xiang, Yunfei Long, Qin Lu et al.*2 citations*
43. **[Sentiment Expression Boundaries in Sentiment Polarity Classification ↗](https://aclanthology.org/W18-6222/)**Rasoul Kaljahi, Jennifer Foster*2 citations*
44. **[UWB at IEST 2018: Emotion Prediction in Tweets with Bidirectional Long Short-Term Memory Neural Network ↗](https://aclanthology.org/W18-6232/)**Pavel Přibáň, Jiří Martínek*2 citations*
45. **[EmojiGAN: learning emojis distributions with a generative model ↗](https://aclanthology.org/W18-6240/)**Bogdan Mazoure, Thang Doan, Saibal Ray*1 citation*
46. **[SINAI at IEST 2018: Neural Encoding of Emotional External Knowledge for Emotion Classification ↗](https://aclanthology.org/W18-6227/)**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 ↗](https://aclanthology.org/W18-6228/)**Man Liu
48. **[Identifying Affective Events and the Reasons for their Polarity ↗](https://aclanthology.org/W18-6201/)**Ellen Riloff
49. **[Implicit Subjective and Sentimental Usages in Multi-sense Word Embeddings ↗](https://aclanthology.org/W18-6203/)**Yuqi Sun, Haoyue Shi, Junfeng Hu
50. **[Saying no but meaning yes: negation and sentiment analysis in Basque ↗](https://aclanthology.org/W18-6213/)**Jon Alkorta, Koldo Gojenola, Mikel Iruskieta
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