Knowledge Tree
sentiment analysis
Also known as: sentiment classification
Facts (10)
Sources
A survey on augmenting knowledge graphs (KGs) with large ... link.springer.com Nov 4, 2024 3 facts
referenceThe GLUE (General Language Understanding Evaluation) benchmark assesses model performance on natural language understanding tasks, including sentence similarity, textual entailment, and sentiment analysis.
claimLarge Language Models (LLMs) perform sentiment classification, topic categorization, and named entity recognition (NER) to identify names, dates, and locations.
claimLarge language models have achieved milestones in NLP tasks including text generation, machine translation, sentiment analysis, and conversation AI.
A Survey of Incorporating Psychological Theories in LLMs - arXiv arxiv.org 2 facts
referenceZehui Wu, Ziwei Gong, Jaywon Koo, and Julia Hirschberg published 'Multimodal multi-loss fusion network for sentiment analysis' in the Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics.
referenceZhang et al. (2024e) authored 'Sentiment analysis in the era of large language models: A reality check', published in the Findings of the Association for Computational Linguistics: NAACL 2024, which examines the performance and limitations of large language models in sentiment analysis tasks.
Track: Poster Session 3 - aistats 2026 virtual.aistats.org 1 fact
claimThe Shapley-value Guided Rationale Editor (SHARE) is adaptable for tasks including sentiment analysis, claim verification, and question answering, and can integrate with various language models.
The influence of psychological factors on investment decision making exsys.iocspublisher.org Jan 18, 2024 1 fact
referenceHasselgren, Chrysoulas, Pitropakis, and Buchanan published 'Using Social Media & Sentiment Analysis to Make Investment Decisions' in Future Internet in 2023.
Neuro-Symbolic AI: Explainability, Challenges, and Future Trends arxiv.org Nov 7, 2024 1 fact
referenceBaran and Kocoń (2022) published the paper 'Linguistic knowledge application to neuro-symbolic transformers in sentiment analysis' in the 2022 IEEE International Conference on Data Mining Workshops (ICDMW), pages 395–402.
Combining Knowledge Graphs and Large Language Models - arXiv arxiv.org Jul 9, 2024 1 fact
claimLarge language models are utilized for tasks including language translation, content creation, virtual assistants, automated essay writing, report generation, creative storytelling, chatbots, customer service, text summarization, information extraction, and sentiment analysis.
Papers - Dr Vaishak Belle vaishakbelle.github.io 1 fact
referenceThe paper 'Potential Pitfalls with Automatic Sentiment Analysis: The Example of Queerphobic Bias' by E. Ungless, B. Ross, and V. Belle was published in Social Science Computer Review in 2023.