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Sentiment analysis and emotion detection are important research topics in natural language processing (NLP) and benefit many downstream tasks.
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Understanding Emotions: A Dataset of Tweets to Study Interactions between Affect Categories. In Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018) . European Language Resources Association (ELRA), Miyazaki, Japan
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How intense are you? Predicting intensities of emotions and sentiments using stacked ensemble [application notes]
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GoEmotions: A dataset of fine-grained emotions
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Bing Liu. 2020 · 2020
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Improving depression level estimation by concurrently learning emotion intensity
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BELLE: Be Everyone’s Large Language model Engine
BELLEGroup. 2023 · 2023
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A BERT framework to sentiment analysis of tweets
Abayomi Bello, Sin-Chun Ng, and Man-Fai Leung. 2023 · 2023
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State of the art: a review of sentiment analysis based on sequential transfer learning
Jireh Yi-Le Chan, Khean Thye Bea, Steven Mun Hong Leow, Seuk Wai Phoong, and Wai Khuen Cheng. 2023 · 2023
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Shanglin Lei, Guanting Dong, Xiaoping Wang, Keheng Wang, and Sirui Wang. 2023 · 2023
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Learning to summarize with human feedback
Nisan Stiennon, Long Ouyang, Jeffrey Wu, Daniel Ziegler, Ryan Lowe, Chelsea Voss, Alec Radford, Dario Amodei, and Paul F Christiano. 2020 · 2020
Cited alongside, same era.
Sentibert: A transferable transformer-based architecture for compositional sentiment semantics
Da Yin, Tao Meng, and Kai-Wei Chang. 2020 · 2020
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Affect in Tweets: A Transfer Learning Approach. In Proceedings of the Twelfth Language Resources and Evaluation Conference . 1511–1516
Linrui Zhang, Hsin-Lun Huang, Yang Yu, and Dan Moldovan. 2020 · 2020
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Depression detection using machine learning techniques on twitter data. In 2021 5th international conference on intelligent computing and control systems (ICICCS) . IEEE, 960–966
Kuhaneswaran AL Govindasamy and Naveen Palanichamy. 2021 · 2021
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Sentiment intensity prediction using neural word embeddings. In Proceedings of the 2021 ACM SIGIR International Conference on Theory of Information Retrieval . 93–102
Amal Htait and Leif Azzopardi. 2021 · 2021
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An improved aspect-category sentiment analysis model for text sentiment analysis based on RoBERTa
Wenxiong Liao, Bi Zeng, Xiuwen Yin, and Pengfei Wei. 2021 · 2021
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Mining dual emotion for fake news detection. In Proceedings of the web conference 2021 . 3465–3476
Xueyao Zhang, Juan Cao, Xirong Li, Qiang Sheng, Lei Zhong, and Kai Shu. 2021 · 2021
Cited alongside, same era.
Emotion Detection for Misinformation: A Review
Zhiwei Liu, Tianlin Zhang, Kailai Yang, Paul Thompson, Zeping Yu, and Sophia Ananiadou. 2023 · 2023
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Guilherme Penedo, Quentin Malartic, Daniel Hesslow, Ruxandra Cojocaru, Alessandro Cappelli, Hamza Alobeidli, Baptiste Pannier, Ebtesam Almazrouei, and Julien Launay. 2023 · 2023
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Llama: Open and efficient foundation language models
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Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al · 2023
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ChatHome: Development and Evaluation of a Domain-Specific Language Model for Home Renovation
Cheng Wen, Xianghui Sun, Shuaijiang Zhao, Xiaoquan Fang, Liangyu Chen, and Wei Zou. 2023 · 2023
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PIXIU: A Large Language Model, Instruction Data and Evaluation Benchmark for Finance
Qianqian Xie, Weiguang Han, Xiao Zhang, Yanzhao Lai, Min Peng, Alejandro Lopez-Lira, and Jimin Huang. 2023 · 2023
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Mentalllama: Interpretable mental health analysis on social media with large language models
Kailai Yang, Tianlin Zhang, Ziyan Kuang, Qianqian Xie, and Sophia Ananiadou. 2023 · 2023
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DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales
Zhewei Yao, Reza Yazdani Aminabadi, Olatunji Ruwase, Samyam Rajbhandari, Xiaoxia Wu, Ammar Ahmad Awan, Jeff Rasley, Minjia Zhang, Conglong Li, Connor Holmes, et al · 2023
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Back to the Future: Towards Explainable Temporal Reasoning with Large Language Models
Chenhan Yuan, Qianqian Xie, Jimin Huang, and Sophia Ananiadou. 2023 · 2023
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Emotion fusion for mental illness detection from social media: A survey
Tianlin Zhang, Kailai Yang, Shaoxiong Ji, and Sophia Ananiadou. 2023b · 2023
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Yazhou Zhang, Mengyao Wang, Prayag Tiwari, Qiuchi Li, Benyou Wang, and Jing Qin. 2023a · 2023
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Building emotional support chatbots in the era of llms
Zhonghua Zheng, Lizi Liao, Yang Deng, and Liqiang Nie. 2023 · 2023
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Analyzing amazon products sentiment: a comparative study of machine and deep learning, and transformer-based techniques
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