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[1] R. Stephenson. A and V , 1962, The British journal of ophthalmology.
[2] J. Jenkins,et al. Word association norms , 1964 .
[3] Kenneth Ward Church,et al. Word Association Norms, Mutual Information, and Lexicography , 1989, ACL.
[4] Fabrizio Sebastiani,et al. Machine learning in automated text categorization , 2001, CSUR.
[5] A. ADoefaa,et al. ? ? ? ? f ? ? ? ? ? , 2003 .
[6] J. Swim,et al. African American College Students’ Experiences With Everyday Racism: Characteristics of and Responses to These Incidents , 2003 .
[7] Eugene G. Kowch,et al. Designing effective instruction , 2004 .
[8] Andrea Esuli,et al. SENTIWORDNET: A Publicly Available Lexical Resource for Opinion Mining , 2006, LREC.
[9] Geoffrey E. Hinton,et al. Visualizing Data using t-SNE , 2008 .
[10] Francis R. Bach,et al. Online Learning for Latent Dirichlet Allocation , 2010, NIPS.
[11] David Yarowsky,et al. Classifying latent user attributes in twitter , 2010, SMUC '10.
[12] Michael D. Barnes,et al. Tweaking and Tweeting: Exploring Twitter for Nonmedical Use of a Psychostimulant Drug (Adderall) Among College Students , 2013, Journal of medical Internet research.
[13] La Vonne Fedynich,et al. Teaching beyond the Classroom Walls: The Pros and Cons of Cyber Learning. , 2013 .
[14] Marián Šimko,et al. Sentiment analysis on microblog utilizing appraisal theory , 2013, World Wide Web.
[15] Benjamin Van Durme,et al. Using Conceptual Class Attributes to Characterize Social Media Users , 2013, ACL.
[16] Dong Nguyen,et al. "How Old Do You Think I Am?" A Study of Language and Age in Twitter , 2013, ICWSM.
[17] Benjamin Van Durme,et al. I'm a Belieber: Social Roles via Self-identification and Conceptual Attributes , 2014, ACL.
[18] Mihai Surdeanu,et al. The Stanford CoreNLP Natural Language Processing Toolkit , 2014, ACL.
[19] Ming Zhou,et al. Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification , 2014, ACL.
[20] Jeffrey Pennington,et al. GloVe: Global Vectors for Word Representation , 2014, EMNLP.
[21] Samuel Museus,et al. The Continuing Significance of Racism in the Lives of Asian American College Students , 2015 .
[22] M. Williams,et al. Who Tweets? Deriving the Demographic Characteristics of Age, Occupation and Social Class from Twitter User Meta-Data , 2015, PloS one.
[23] Min Song,et al. Topic-based content and sentiment analysis of Ebola virus on Twitter and in the news , 2016, J. Inf. Sci..
[24] Jiebo Luo,et al. Using Social Media to Promote STEM Education: Matching College Students with Role Models , 2016, ECML/PKDD.
[25] Mathieu Cliche,et al. BB_twtr at SemEval-2017 Task 4: Twitter Sentiment Analysis with CNNs and LSTMs , 2017, *SEMEVAL.
[26] Nikos Pelekis,et al. DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis , 2017, *SEMEVAL.
[27] Preslav Nakov,et al. SemEval-2017 Task 4: Sentiment Analysis in Twitter , 2017, *SEMEVAL.
[28] Sebastian Ruder,et al. Universal Language Model Fine-tuning for Text Classification , 2018, ACL.
[29] J. Guhin. Colorblind Islam: The Racial Hinges of Immigrant Muslims in the United States , 2018, Social Inclusion.
[30] Omer Levy,et al. RoBERTa: A Robustly Optimized BERT Pretraining Approach , 2019, ArXiv.
[31] R'emi Louf,et al. HuggingFace's Transformers: State-of-the-art Natural Language Processing , 2019, ArXiv.
[32] Natalia Gimelshein,et al. PyTorch: An Imperative Style, High-Performance Deep Learning Library , 2019, NeurIPS.
[33] Fabian Flöck,et al. Demographic Inference and Representative Population Estimates from Multilingual Social Media Data , 2019, WWW.
[34] Frank Hutter,et al. Decoupled Weight Decay Regularization , 2017, ICLR.
[35] Ming-Wei Chang,et al. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding , 2019, NAACL.
[36] Kristina Lerman,et al. COVID-19: The First Public Coronavirus Twitter Dataset , 2020, ArXiv.
[37] Kristina Lerman,et al. Tracking Social Media Discourse About the COVID-19 Pandemic: Development of a Public Coronavirus Twitter Data Set , 2020, JMIR public health and surveillance.
[38] P. Sahu. Closure of Universities Due to Coronavirus Disease 2019 (COVID-19): Impact on Education and Mental Health of Students and Academic Staff , 2020, Cureus.
[39] Jeremy Howard,et al. fastai: A Layered API for Deep Learning , 2020, Inf..
[40] Catherine Ordun,et al. Exploratory Analysis of Covid-19 Tweets using Topic Modeling, UMAP, and DiGraphs , 2020, ArXiv.
[41] P. Alam. ‘L’ , 2021, Composites Engineering: An A–Z Guide.