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- Raffel, C., Shazeer, N., Roberts, A., Lee, K., Narang, S., Matena, M., ... & Liu, P. J. (2019). Exploring the limits of transfer learning with a unified text-to-text transformer. arXiv preprint arXiv:1910.10683. ([PDF](https://www.jmlr.org/papers/volume21/20-074/20-074.pdf))
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- Brown, T. B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., ... & Amodei, D. (2020). Language models are few-shot learners. arXiv preprint arXiv:2005.14165. ([PDF](https://arxiv.org/pdf/2005.14165.pdf))
- (Optional) Other VSM-based classsification (Lecture videos are taken from IMEN415 (Multivariate Data Analysis for Undergraudate Students @Korea University))
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## Topic 10: Sentiment Analysis
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- Architecture of sentiment analysis [[Slide](https://github.com/pilsung-kang/text-analytics/blob/master/10%20Sentiment%20Analysis/10_1_Sentiment%20Analysis%20Overview.pdf)], [[Video](https://www.youtube.com/watch?v=5ZC37vpaU-4)]**(2021-05-11)**
- Hamilton, W. L., Clark, K., Leskovec, J., & Jurafsky, D. (2016, November). Inducing domain-specific sentiment lexicons from unlabeled corpora. In Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing (Vol. 2016, p. 595). NIH Public Access. ([PDF](https://nlp.stanford.edu/pubs/hamilton2016inducing.pdf))
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