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1	One model for the learning of language.
	Yang, Yuan; Piantadosi, Steven T
	In: Proceedings of the National Academy of Sciences of the United States of America, vol 119, iss 5 (2022)
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2	One model for the learning of language
	Yang, Yuan; Piantadosi, Steven T.
	In: Proc Natl Acad Sci U S A (2022)
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3	Developing an Automatic System for Classifying Chatter About Health Services on Twitter: Case Study for Medicaid
	Yang, Yuan-Chi; Al-Garadi, Mohammed Ali; Bremer, Whitney; Zhu, Jane M; Grande, David; Sarker, Abeed
	In: J Med Internet Res (2021)
	Abstract: BACKGROUND: The wide adoption of social media in daily life renders it a rich and effective resource for conducting near real-time assessments of consumers’ perceptions of health services. However, its use in these assessments can be challenging because of the vast amount of data and the diversity of content in social media chatter. OBJECTIVE: This study aims to develop and evaluate an automatic system involving natural language processing and machine learning to automatically characterize user-posted Twitter data about health services using Medicaid, the single largest source of health coverage in the United States, as an example. METHODS: We collected data from Twitter in two ways: via the public streaming application programming interface using Medicaid-related keywords (Corpus 1) and by using the website’s search option for tweets mentioning agency-specific handles (Corpus 2). We manually labeled a sample of tweets in 5 predetermined categories or other and artificially increased the number of training posts from specific low-frequency categories. Using the manually labeled data, we trained and evaluated several supervised learning algorithms, including support vector machine, random forest (RF), naïve Bayes, shallow neural network (NN), k-nearest neighbor, bidirectional long short-term memory, and bidirectional encoder representations from transformers (BERT). We then applied the best-performing classifier to the collected tweets for postclassification analyses to assess the utility of our methods. RESULTS: We manually annotated 11,379 tweets (Corpus 1: 9179; Corpus 2: 2200) and used 7930 (69.7%) for training, 1449 (12.7%) for validation, and 2000 (17.6%) for testing. A classifier based on BERT obtained the highest accuracies (81.7%, Corpus 1; 80.7%, Corpus 2) and F(1) scores on consumer feedback (0.58, Corpus 1; 0.90, Corpus 2), outperforming the second best classifiers in terms of accuracy (74.6%, RF on Corpus 1; 69.4%, RF on Corpus 2) and F(1) score on consumer feedback (0.44, NN on Corpus 1; 0.82, RF on Corpus 2). Postclassification analyses revealed differing intercorpora distributions of tweet categories, with political (400778/628411, 63.78%) and consumer feedback (15073/27337, 55.14%) tweets being the most frequent for Corpus 1 and Corpus 2, respectively. CONCLUSIONS: The broad and variable content of Medicaid-related tweets necessitates automatic categorization to identify topic-relevant posts. Our proposed system presents a feasible solution for automatic categorization and can be deployed and generalized for health service programs other than Medicaid. Annotated data and methods are available for future studies.
	Keyword: Original Paper
	URL: https://doi.org/10.2196/26616 http://www.ncbi.nlm.nih.gov/pubmed/33938807 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8129876/
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4	Self-reported COVID-19 symptoms on Twitter: an analysis and a research resource
	Sarker, Abeed; Lakamana, Sahithi; Hogg-Bremer, Whitney...
	In: J Am Med Inform Assoc (2020)
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5	A Light-Weight Text Summarization System for Fast Access to Medical Evidence
	Sarker, Abeed; Yang, Yuan-Chi; Al-Garadi, Mohammed Ali...
	In: Front Digit Health (2020)
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6	Entwicklung interkultureller Handlungskompetenz : ein didaktisches Konzept für den Wirtschaftsdeutschunterricht in China am Beispiel des Einsatzes von Lernvideos
	Yang, Yuan [Verfasser]. - München : Iudicium, 2019
	DNB Subject Category Language
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7	Entwicklung interkultureller Handlungskompetenz. Ein didaktisches Konzept für den Wirtschaftsdeutschunterricht in China am Beispiel des Einsatzes von Lernvideos
	Yang, Yuan [Verfasser]; Albert, Ruth [Akademischer Betreuer]. - Marburg : Philipps-Universität Marburg, 2019
	DNB Subject Category Language
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8	Punctuation and Parallel Corpus Based Word Embedding Model for Low-Resource Languages
	Yang Yuan; Xiao Li; Ya-Ting Yang
	In: Information ; Volume 11 ; Issue 1 (2019)
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9	One Model for the Learning of Language ...
	Yang, Yuan. - : arXiv, 2017
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10	Dynamic Functional Brain Connectivity for Face Perception
	Yang, Yuan; Qiu, Yihong; Schouten, Alfred C.. - : Frontiers Media S.A., 2015
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