Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis 2023: all accepted papers
- ChatGPT is fun, but it is not funny! Humor is still challenging Large Language Models ↗Sophie Jentzsch, Kristian Kersting45 citations
- Instruction Tuning for Few-Shot Aspect-Based Sentiment Analysis ↗Siddharth Varia, Shuai Wang, Kishaloy Halder et al.34 citations
- Multilingual Language Models are not Multicultural: A Case Study in EmotionShreya Havaldar, Sunny Rai, Bhumika Singhal et al.34 citations · our summary
- ChatGPT for Suicide Risk Assessment on Social Media: Quantitative Evaluation of Model Performance, Potentials and Limitations ↗Hamideh Ghanadian, Isar Nejadgholi, Hussein Al Osman20 citations
- Systematic Evaluation of GPT-3 for Zero-Shot Personality Estimation ↗Adithya V Ganesan, Yash Kumar Lal, August Nilsson et al.15 citations
- Improving Dutch Vaccine Hesitancy Monitoring via Multi-Label Data Augmentation with GPT-3.5 ↗Jens Van Nooten, Walter Daelemans13 citations
- Can ChatGPT Understand Causal Language in Science Claims? ↗Yuheun Kim, Lu Guo, Bei Yu et al.10 citations
- Generative Pretrained Transformers for Emotion Detection in a Code-Switching Setting ↗Andrew Nedilko8 citations
- Sentiment and Emotion Classification in Low-resource Settings ↗Jeremy Barnes8 citations
- Discourse Mode Categorization of Bengali Social Media Health Text ↗Salim Sazzed7 citations
- PESTO: A Post-User Fusion Network for Rumour Detection on Social Media ↗Erxue Min, Sophia Ananiadou7 citations
- A Fine Line Between Irony and Sincerity: Identifying Bias in Transformer Models for Irony Detection ↗Aaron Maladry, Els Lefever, Cynthia Van Hee et al.5 citations
- Context-Dependent Embedding Utterance Representations for Emotion Recognition in Conversations ↗Patrícia Pereira, Helena Moniz, Isabel Dias et al.5 citations
- Transfer Learning for Code-Mixed Data: Do Pretraining Languages Matter? ↗Kushal Tatariya, Heather Lent, Miryam de Lhoneux5 citations
- YNU-HPCC at WASSA-2023 Shared Task 1: Large-scale Language Model with LoRA Fine-Tuning for Empathy Detection and Emotion Classification ↗Yukun Wang, Jin Wang, Xuejie Zhang5 citations
- A Dataset for Explainable Sentiment Analysis in the German Automotive Industry ↗Andrea Zielinski, Calvin Spolwind, Henning Kroll et al.4 citations
- Analyzing Subjectivity Using a Transformer-Based Regressor Trained on Naïve Speakers' Judgements ↗Elena Savinova, Fermin Moscoso Del Prado4 citations
- The Paradox of Multilingual Emotion Detection ↗Luna De Bruyne4 citations
- Converge at WASSA 2023 Empathy, Emotion and Personality Shared Task: A Transformer-based Approach for Multi-Label Emotion Classification ↗Aditya Paranjape, Gaurav Kolhatkar, Yash Patwardhan et al.3 citations
- Curtin OCAI at WASSA 2023 Empathy, Emotion and Personality Shared Task: Demographic-Aware Prediction Using Multiple Transformers ↗Md Rakibul Hasan, Md Zakir Hossain, Tom Gedeon et al.3 citations
- Emotion and Sentiment Guided Paraphrasing ↗Justin Xie, Ameeta Agrawal3 citations
- Examining Bias in Opinion Summarisation through the Perspective of Opinion Diversity ↗Nannan Huang, Lin Tian, Haytham Fayek et al.3 citations
- Findings of WASSA 2023 Shared Task on Empathy, Emotion and Personality Detection in Conversation and Reactions to News Articles ↗Valentin Barriere, João Sedoc, Shabnam Tafreshi et al.3 citations
- HIT-SCIR at WASSA 2023: Empathy and Emotion Analysis at the Utterance-Level and the Essay-Level ↗Xin Lu, Zhuojun Li, Yanpeng Tong et al.3 citations
- How to Control Sentiment in Text Generation: A Survey of the State-of-the-Art in Sentiment-Control Techniques ↗Michela Lorandi, Anya Belz3 citations
- Identifying Slurs and Lexical Hate Speech via Light-Weight Dimension Projection in Embedding Space ↗Sanne Hoeken, Sina Zarrieß, Ozge Alacam3 citations
- Modelling Political Aggression on Social Media Platforms ↗Akash Rawat, Nazia Nafis, Dnyaneshwar Bhadane et al.3 citations
- Not Just Iconic: Emoji Interpretation is Shaped by Use ↗Brianna O'Boyle, Gabriel Doyle3 citations
- Painsight: An Extendable Opinion Mining Framework for Detecting Pain Points Based on Online Customer Reviews ↗Yukyung Lee, Jaehee Kim, Doyoon Kim et al.3 citations
- PrecogIIITH@WASSA2023: Emotion Detection for Urdu-English Code-mixed Text ↗Bhaskara Hanuma Vedula, Prashant Kodali, Manish Shrivastava et al.3 citations
- Transformer-based Prediction of Emotional Reactions to Online Social Network Posts ↗Irene Benedetto, Moreno La Quatra, Luca Cagliero et al.3 citations
- Communicating Climate Change: A Comparison Between Tweets and Speeches by German Members of Parliament ↗Robin Schaefer, Christoph Abels, Stephan Lewandowsky et al.2 citations
- Emotion Analysis of Tweets Banning Education in Afghanistan ↗Mohammad Ali Hussiny, Lilja Øvrelid2 citations
- NCUEE-NLP at WASSA 2023 Shared Task 1: Empathy and Emotion Prediction Using Sentiment-Enhanced RoBERTa Transformers ↗Tzu-Mi Lin, Jung-Ying Chang, Lung-Hao Lee2 citations
- Sadness and Anxiety Language in Reddit Messages Before and After Quitting a Job ↗Molly Ireland, Micah Iserman, Kiki Adams2 citations
- Sentimental Matters - Predicting Literary Quality by Sentiment Analysis and Stylometric Features ↗Yuri Bizzoni, Pascale Moreira, Mads Rosendahl Thomsen et al.2 citations
- Towards Detecting Harmful Agendas in News Articles ↗Melanie Subbiah, Amrita Bhattacharjee, Yilun Hua et al.2 citations
- UNIDECOR: A Unified Deception Corpus for Cross-Corpus Deception Detection ↗Aswathy Velutharambath, Roman Klinger2 citations
- Adapting Emotion Detection to Analyze Influence Campaigns on Social Media ↗Ankita Bhaumik, Andy Bernhardt, Gregorios Katsios et al.1 citation
- Combining Active Learning and Task Adaptation with BERT for Cost-Effective Annotation of Social Media Datasets ↗Jens Lemmens, Walter Daelemans1 citation
- Emotion classification on code-mixed text messages via soft prompt tuning ↗Jinghui Zhang, Dongming Yang, Siyu Bao et al.1 citation
- Exploration of Contrastive Learning Strategies toward more Robust Stance Detection ↗Udhaya Kumar Rajendran, Amine Trabelsi1 citation
- GSAC: A Gujarati Sentiment Analysis Corpus from Twitter ↗Monil Gokani, Radhika Mamidi1 citation
- Transformer-based cynical expression detection in a corpus of Spanish YouTube reviews ↗Samuel Gonzalez-Lopez, Steven Bethard1 citation
- Utterance Emotion Dynamics in Children's Poems: Emotional Changes Across Age ↗Daniela Teodorescu, Alona Fyshe, Saif Mohammad1 citation
- You Are What You Read: Inferring Personality From Consumed Textual Content ↗Adam Sutton, Almog Simchon, Matthew Edwards et al.1 citation
- AdityaPatkar at WASSA 2023 Empathy, Emotion, and Personality Shared Task: RoBERTa-Based Emotion Classification of Essays, Improving Performance on Imbalanced Data ↗Aditya Patkar, Suraj Chandrashekhar, Ram Mohan Rao Kadiyala
- Annotating and Training for Population Subjective Views ↗Maria Alexeeva, Caroline Hyland, Keith Alcock et al.
- Czech-ing the News: Article Trustworthiness Dataset for Czech ↗Matyas Bohacek, Michal Bravansky, Filip Trhlík et al.
- Domain Transfer for Empathy, Distress, and Personality Prediction ↗Fabio Gruschka, Allison Lahnala, Charles Welch et al.
- Emotions in Spoken Language - Do we need acoustics? ↗Nadine Probol, Margot Mieskes
- Findings of WASSA 2023 Shared Task: Multi-Label and Multi-Class Emotion Classification on Code-Mixed Text Messages ↗Iqra Ameer, Necva Bölücü, Hua Xu et al.
- Fluency Matters! Controllable Style Transfer with Syntax Guidance ↗Ji-Eun Han, Kyung-Ah Sohn
- PICT-CLRL at WASSA 2023 Empathy, Emotion and Personality Shared Task: Empathy and Distress Detection using Ensembles of Transformer Models ↗Tanmay Chavan, Kshitij Deshpande, Sheetal Sonawane
- Team_Hawk at WASSA 2023 Empathy, Emotion, and Personality Shared Task: Multi-tasking Multi-encoder based transformers for Empathy and Emotion Prediction in Conversations ↗Addepalli Sai Srinivas, Nabarun Barua, Santanu Pal
- Understanding Emotion Valence is a Joint Deep Learning Task ↗Gabriel Roccabruna, Seyed Mahed Mousavi, Giuseppe Riccardi
- Unsupervised Domain Adaptation using Lexical Transformations and Label Injection for Twitter Data ↗Akshat Gupta, Xiaomo Liu, Sameena Shah
- VISU at WASSA 2023 Shared Task: Detecting Emotions in Reaction to News Stories Using Transformers and Stacked Embeddings ↗Vivek Kumar, Prayag Tiwari, Sushmita Singh
- YNU-HPCC at WASSA 2023: Using Text-Mixed Data Augmentation for Emotion Classification on Code-Mixed Text Message ↗Xuqiao Ran, You Zhang, Jin Wang et al.
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