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Revisiting Sentiment Analysis for Software Engineering in the Era of Large Language Models
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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A Survey of Opinion Mining and Sentiment Analysis
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On negative results when using sentiment analysis tools for software engineering research
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An exploratory qualitative and quantitative analysis of emotions in issue report comments of open source systems
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Assessment of off-the-shelf SE-specific sentiment analysis tools: An extended replication study
inferredcites →https://doi.org/10.1016/j.infsof.2022.107018openalex-snapshot
Sentiment analysis tools in software engineering: A systematic mapping study
inferredcites →https://doi.org/10.1016/j.jss.2018.08.030openalex-snapshot
SentiStrength-SE: Exploiting domain specificity for improved sentiment analysis in software engineering text
inferredcites →https://doi.org/10.1016/j.patrec.2005.10.010openalex-snapshot
An introduction to ROC analysis
inferredcites →https://doi.org/10.1016/j.procs.2019.11.174openalex-snapshot
Sentiment Analysis in Social Media and Its Application: Systematic Literature Review
inferredcites →https://doi.org/10.1109/ase.2017.8115623openalex-snapshot
SentiCR: A customized sentiment analysis tool for code review interactions
inferredcites →https://doi.org/10.1109/icpc.2013.6613842openalex-snapshot
Extracting problematic API features from forum discussions
inferredcites →https://doi.org/10.1109/icsm.2015.7332508openalex-snapshot
Choosing your weapons: On sentiment analysis tools for software engineering research
inferredcites →https://doi.org/10.1109/icsme46990.2020.00017openalex-snapshot
Sentiment Analysis for Software Engineering: How Far Can Pre-trained Transformer Models Go?
inferredcites →https://doi.org/10.1109/icsme46990.2020.00025openalex-snapshot
Achieving Reliable Sentiment Analysis in the Software Engineering Domain using BERT
inferredcites →https://doi.org/10.1109/semotion.2019.00014openalex-snapshot
EMTk - The Emotion Mining Toolkit
inferredcites →https://doi.org/10.1109/tkde.2022.3230975openalex-snapshot
A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges
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Proceedings of the Eighth ACM International Conference on Web Search and Data Mining
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Release planning of mobile apps based on user reviews
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The emotional side of software developers in JIRA
inferredcites →https://doi.org/10.1145/3180155.3180195openalex-snapshot
Sentiment analysis for software engineering
inferredcites →https://doi.org/10.1145/3180155.3182519openalex-snapshot
Sentiment polarity detection for software development
inferredcites →https://doi.org/10.1145/3196398.3196403openalex-snapshot
A benchmark study on sentiment analysis for software engineering research
inferredcites →https://doi.org/10.1145/3297280openalex-snapshot
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing
inferredcites →https://doi.org/10.1145/3338906.3338977openalex-snapshot
SEntiMoji: an emoji-powered learning approach for sentiment analysis in software engineering
inferredcites →https://doi.org/10.1145/3379597.3387446openalex-snapshot
Can We Use SE-specific Sentiment Analysis Tools in a Cross-Platform Setting?
inferredcites →https://doi.org/10.1145/3411763.3451760openalex-snapshot
Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm
inferredcites →https://doi.org/10.1145/3424308openalex-snapshot
Emoji-powered Sentiment and Emotion Detection from Software Developers’ Communication Data
inferredcites →https://doi.org/10.1145/3447808openalex-snapshot
How Should I Improve the UI of My App?
inferredcites →https://doi.org/10.1145/3490388openalex-snapshot
Opinion Mining for Software Development: A Systematic Literature Review
inferredcites →https://doi.org/10.1145/3524610.3527916openalex-snapshot
Benchmarking library recognition in tweets
inferredcites →https://doi.org/10.1145/3543873.3587605openalex-snapshot
LLMs to the Moon? Reddit Market Sentiment Analysis with Large Language Models
inferredcites →https://doi.org/10.1145/3551349.3556925openalex-snapshot
Data Augmentation for Improving Emotion Recognition in Software Engineering Communication
inferredcites →https://doi.org/10.1145/3597503openalex-snapshot
Proceedings of the IEEE/ACM 46th International Conference on Software Engineering
inferredcites →https://doi.org/10.1145/3597503.3608137openalex-snapshot
Prompting Is All You Need: Automated Android Bug Replay with Large Language Models
inferredcites →https://doi.org/10.1145/3597503.3623326openalex-snapshot
UniLog: Automatic Logging via LLM and In-Context Learning
inferredcites →https://doi.org/10.1145/3597503.3639150openalex-snapshot
LLMParser: An Exploratory Study on Using Large Language Models for Log Parsing
inferredcites →https://doi.org/10.1145/3597503.3639183openalex-snapshot
Automatic Semantic Augmentation of Language Model Prompts (for Code Summarization)
inferredcites →https://doi.org/10.1145/3626772openalex-snapshot
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
inferredcites →https://doi.org/10.1145/3626772.3657719openalex-snapshot
Diffusion Models for Generative Outfit Recommendation
inferredcites →https://doi.org/10.1145/3626772.3657720openalex-snapshot
GPT4Rec: Graph Prompt Tuning for Streaming Recommendation
inferredcites →https://doi.org/10.1145/3639476.3639762openalex-snapshot
Large Language Model for Vulnerability Detection: Emerging Results and Future Directions
inferredcites →https://doi.org/10.1162/coli_r_00259openalex-snapshot
Sentiment Analysis: Mining Opinions, Sentiments, and Emotions
inferredcites →https://doi.org/10.1162/tacl_a_00681openalex-snapshot
State of What Art? A Call for Multi-Prompt LLM Evaluation
inferredcites →https://doi.org/10.1177/0539018404047701openalex-snapshot
Emotions in everyday life: probability of occurrence, risk factors, appraisal and reaction patterns
inferredcites →https://doi.org/10.14741/ijcet/22774106openalex-snapshot
International Journal of Current Engineering and Technology
inferredcites →https://doi.org/10.18653/v1/2020.emnlp-demos.6openalex-snapshot
Transformers: State-of-the-Art Natural Language Processing
inferredcites →https://doi.org/10.18653/v1/2022.emnlp-mainopenalex-snapshot
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
inferredcites →https://doi.org/10.18653/v1/2022.emnlp-main.759openalex-snapshot
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?
inferredcites →https://doi.org/10.18653/v1/2023.findings-emnlp.515openalex-snapshot
A Sequence-to-Structure Approach to Document-level Targeted Sentiment Analysis
inferredcites →https://doi.org/10.18653/v1/2024.findings-naacl.246openalex-snapshot
Sentiment Analysis in the Era of Large Language Models: A Reality Check
inferredcites →https://doi.org/10.18653/v1/2026.acl-longopenalex-snapshot
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
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A Survey on Hate Speech Detection using Natural Language Processing
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What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Boosting Sentiment Analysis in OSS: A Hybrid Active Learning Strategy Using Uncertainty Metrics
inferred← citeshttps://doi.org/10.1007/978-3-032-21373-0_5openalex-snapshot
Sentiment Analysis Using LLMs: A Systematic Mapping Study in Software Engineering
inferred← citeshttps://doi.org/10.1007/978-3-032-21423-2_9openalex-snapshot
Understanding Usefulness in Developer Explanations on Stack Overflow
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Are prompts all you need? Evaluating prompt-based Large Language Models (LLM)s for software requirements classification
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Leveraging large language models for sentiment analysis in GitHub pull request discussions
inferred← citeshttps://doi.org/10.1007/s11704-025-50472-3openalex-snapshot
Large language models meet NLP: a survey
inferred← citeshttps://doi.org/10.1007/s44163-026-00872-6openalex-snapshot
Capsule-enhanced RoBERTa for hierarchical sentiment analysis on social media texts
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CSLLM: Code-Specific Large Language Models—A Survey
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Benchmarking large language models for automated labeling: The case of issue report classification
inferred← citeshttps://doi.org/10.1016/j.infsof.2025.108003openalex-snapshot
Emotional expression in open- source: How project function shapes communication
inferred← citeshttps://doi.org/10.1038/s41598-025-31319-0openalex-snapshot
Advanced natural-based interaction for the ITAlian language: LLaMAntino-3-ANITA
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Mapping AI feedback under emotional prompts: a sentiment-topic-network approach
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An Empirical Evaluation of the Zero-Shot, Few-Shot, and Traditional Fine-Tuning Based Pretrained Language Models for Sentiment Analysis in Software Engineering
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On the Effectiveness of Zero-Shot and Few-Shot Pretrained Language Models for Software Requirement Classification
inferred← citeshttps://doi.org/10.1109/discover66922.2025.11258993openalex-snapshot
A Comprehensive Study of Text Classification Models for Hate Speech Detection in Resource-Limited Environments
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Robust or Overfitted? Investigating the Generalization of Pretrained Models in Requirement Classification
inferred← citeshttps://doi.org/10.1109/icccbda64898.2025.11030530openalex-snapshot
Sentiment Analysis for Bug Resolution in Multi-Language Deep Learning Frameworks
inferred← citeshttps://doi.org/10.1109/icccbda69573.2026.11676517openalex-snapshot
Can LLMs Replace Static Analysis? an Empirical Study on Vulnerability Detection in IIoT Software
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Social Media Reactions to Open Source Promotions: AI-Powered GitHub Projects on Hacker News
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What About Emotions? Guiding Fine-Grained Emotion Extraction from Mobile App Reviews
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CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews
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A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering
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SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps
inferred← citeshttps://doi.org/10.1109/rew66121.2025.00080openalex-snapshot
Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection
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Large Language Models in Software Documentation and Modeling: A Literature Review and Findings
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Why Do Developers Engage with ChatGPT in Issue-Tracker? Investigating Usage and Reliance on ChatGPT-Generated Code
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Evaluating Large Language Models on Named Entity Recognition
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Proceedings of the 2024 ACM/IEEE 44th International Conference on Software Engineering: New Ideas and Emerging Results
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Get on the Train or be Left on the Station: Using LLMs for Software Engineering Research
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A Systematic Literature Review on Explainability for ML/DL-based Software Engineering
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Tracing Stereotypes in Pre-trained Transformers: From Biased Neurons to Fairer Models
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When Code Authors Are Agents: A Large-Scale Study of Human–Agent Collaboration in Pull Requests
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Revisiting Vulnerability Patch Identification on Data in the Wild
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ReDef: Do Code Language Models Truly Understand Code Changes for Just-in-Time Software Defect Prediction?
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RIP-Guided Graph Evidence for LLM-Based Equivalent Mutant Detection
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The advantages of lexicon-based sentiment analysis in an age of machine learning
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The Role of Generative Artificial Intelligence in Shaping Business Innovation: Insights from End Users’ Perspectives and Practices
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Emotional Tone Detection in Hate Speech Using Machine Learning and NLP: Methods, Challenges, and Future Directions—A Systematic Review
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Comparing Machine Learning Models for Sentiment Analysis and Rating Prediction of Vegan and Vegetarian Restaurant Reviews
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