Sentiment and Interest Detection in Social Media using GPT-based Large Language Models-Reference-Cited by-同舟云学术

Sentiment and Interest Detection in Social Media using GPT-based Large Language Models

Published:2023-12-27 Issue: Volume: Page:209-214
ISSN:
Container-title:Proceedings of the 2023 6th International Conference on Machine Learning and Natural Language Processing
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Author:

Al Asad Md Abdullah¹^ORCID,Imran Hasan Md¹^ORCID,Alamin Md²^ORCID,Abdullah Tareque Abu¹^ORCID,Chowdhury Suriya Islam¹^ORCID

Affiliation:

1. Cyber-Physical Systems, Clark Atlanta University, USA

2. Computer Science, Michigan State University, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3639479.3639523

Reference20 articles.

1. A large-scale sentiment analysis of tweets pertaining to the 2020 US presidential election

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3. Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020. Language Models are Few-Shot Learners. In Advances in Neural Information Processing Systems, H. Larochelle, M. Ranzato, R. Hadsell, M.F. Balcan, and H. Lin (Eds.). Vol. 33. Curran Associates, Inc., 1877–1901. https://proceedings.neurips.cc/paper_files/paper/2020/file/1457c0d6bfcb4967418bfb8ac142f64a-Paper.pdf

4. Sébastien Bubeck Varun Chandrasekaran Ronen Eldan Johannes Gehrke Eric Horvitz Ece Kamar Peter Lee Yin Tat Lee Yuanzhi Li Scott Lundberg Harsha Nori Hamid Palangi Marco Tulio Ribeiro and Yi Zhang. 2023. Sparks of Artificial General Intelligence: Early experiments with GPT-4. arxiv:2303.12712 [cs.CL]