Polarity in the Classroom: A Case Study Leveraging Peer Sentiment Toward Scalable Assessment
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[1] Les A. Piegl,et al. A Domain-Dependent Lexicon to Augment CAD Peer Review , 2020 .
[2] Ronen Feldman,et al. Techniques and applications for sentiment analysis , 2013, CACM.
[3] Bo Pang,et al. Thumbs up? Sentiment Classification using Machine Learning Techniques , 2002, EMNLP.
[4] Janyce Wiebe,et al. MPQA 3.0: An Entity/Event-Level Sentiment Corpus , 2015, NAACL.
[5] Aditya Johri,et al. Systematic Review of Discussion Forums in Massive Open Online Courses (MOOCs) , 2019, IEEE Transactions on Learning Technologies.
[6] Antonio Pietrosanto,et al. E-learning and sentiment analysis: a case study , 2018 .
[7] Nihar B. Shah. Some Scaling Laws for MOOC Assessments , 2014 .
[8] Francis F. Balahadia,et al. Teacher's performance evaluation tool using opinion mining with sentiment analysis , 2016, 2016 IEEE Region 10 Symposium (TENSYMP).
[9] Finn Årup Nielsen,et al. A New ANEW: Evaluation of a Word List for Sentiment Analysis in Microblogs , 2011, #MSM.
[10] Juana Canul-Reich,et al. Proposal of a Sentiment Analysis Model in Tweets for improvement of the teaching - learning process in the classroom using a corpus of subjectivity , 2016, Int. J. Comb. Optim. Probl. Informatics.
[11] Dr. Edward F. Gehringer. Board 60: PeerLogic: Web Services for Peer Assessment , 2019 .
[12] Dietrich Klakow,et al. A survey on the role of negation in sentiment analysis , 2010, NeSp-NLP@ACL.
[13] L. Duers. The learner as co-creator: A new peer review and self-assessment feedback form created by student nurses. , 2017, Nurse education today.
[14] J. Russell,et al. Variability in students' evaluating processes in peer assessment with calibrated peer review , 2017, J. Comput. Assist. Learn..
[15] Björn W. Schuller,et al. New Avenues in Opinion Mining and Sentiment Analysis , 2013, IEEE Intelligent Systems.
[16] Maite Taboada,et al. Lexicon-Based Methods for Sentiment Analysis , 2011, CL.
[17] Enrique Herrera-Viedma,et al. Sentiment analysis: A review and comparative analysis of web services , 2015, Inf. Sci..
[18] Eric Gilbert,et al. VADER: A Parsimonious Rule-Based Model for Sentiment Analysis of Social Media Text , 2014, ICWSM.
[19] Huan Liu,et al. SlangSD: Building and Using a Sentiment Dictionary of Slang Words for Short-Text Sentiment Classification , 2016, ArXiv.
[20] Qiang Yang,et al. Cross-domain sentiment classification via spectral feature alignment , 2010, WWW '10.
[21] John Blitzer,et al. Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification , 2007, ACL.
[22] Markus Reischl,et al. Benchmarking in classification and regression , 2019, Wiley Interdiscip. Rev. Data Min. Knowl. Discov..
[23] Swapna Somasundaran,et al. Towards Evaluating Narrative Quality In Student Writing , 2018, TACL.
[24] ThelwallMike,et al. Sentiment strength detection in short informal text , 2010 .
[25] Mike Thelwall,et al. Sentiment strength detection for the social web , 2012, J. Assoc. Inf. Sci. Technol..
[26] Janyce Wiebe,et al. Recognizing Contextual Polarity in Phrase-Level Sentiment Analysis , 2005, HLT.
[27] Jay-ar P. Lalata,et al. A Sentiment Analysis Model for Faculty Comment Evaluation Using Ensemble Machine Learning Algorithms , 2019, Proceedings of the 2019 International Conference on Big Data Engineering.
[28] Sasha Blair-Goldensohn,et al. Building a Sentiment Summarizer for Local Service Reviews , 2008 .
[29] Jihie Kim,et al. Predicting Student Attrition in MOOCs using Sentiment Analysis and Neural Networks , 2015, AIED Workshops.
[30] Zhenghao Chen,et al. Tuned Models of Peer Assessment in MOOCs , 2013, EDM.
[31] Paul Rosen,et al. Assessing Student Design Work using the Intelligence of the Crowd , 2019 .
[32] Nicole Novielli,et al. A Benchmark Study on Sentiment Analysis for Software Engineering Research , 2018, 2018 IEEE/ACM 15th International Conference on Mining Software Repositories (MSR).
[33] Fabrício Benevenuto,et al. A Benchmark Comparison of State-of-the-Practice Sentiment Analysis Methods , 2015, ArXiv.
[34] Justin Zhijun Zhan,et al. Sentiment analysis using product review data , 2015, Journal of Big Data.
[35] Les A. Piegl,et al. Ten challenges in CAD cyber education , 2018 .
[36] Vasileios Hatzivassiloglou,et al. Predicting the Semantic Orientation of Adjectives , 1997, ACL.
[37] Les A. Piegl,et al. HeLPS: A Domain-Specific Lexicon for CAD Peer Review , 2020 .
[38] Zachariah Beasley,et al. Sentiment Analysis in Peer Review , 2020 .
[39] Michael S. Bernstein,et al. Scaling short-answer grading by combining peer assessment with algorithmic scoring , 2014, L@S.
[40] Parteek Kumar,et al. A Sentiment Analysis System to Improve Teaching and Learning , 2017, Computer.
[41] David M. Pennock,et al. Mining the peanut gallery: opinion extraction and semantic classification of product reviews , 2003, WWW '03.
[42] Zachariah J. Beasley,et al. Leveraging Peer Feedback to Improve Visualization Education , 2020, 2020 IEEE Pacific Visualization Symposium (PacificVis).
[43] Mark Levene,et al. Bootstrap Domain-Specific Sentiment Classifiers from Unlabeled Corpora , 2018, TACL.
[44] Christopher Potts. On the negativity of negation , 2010 .
[45] M. Bradley,et al. Affective Norms for English Words (ANEW): Instruction Manual and Affective Ratings , 1999 .
[46] Jordi Conesa,et al. Towards a Web-Based Teaching Tool to Measure and Represent the Emotional Climate of Virtual Classrooms , 2017, EIDWT.
[47] Yonatan Belinkov,et al. Analysis Methods in Neural Language Processing: A Survey , 2018, TACL.
[48] Varun Aggarwal,et al. Question Independent Grading using Machine Learning: The Case of Computer Program Grading , 2016, KDD.
[49] Bing Liu,et al. Mining and summarizing customer reviews , 2004, KDD.
[50] Hongli Li,et al. Does peer assessment promote student learning? A meta-analysis , 2020, Assessment & Evaluation in Higher Education.
[51] Xiaojin Zhu,et al. Seeing stars when there aren’t many stars: Graph-based semi-supervised learning for sentiment categorization , 2006 .
[52] Lei Zhang,et al. Sentiment Analysis and Opinion Mining , 2017, Encyclopedia of Machine Learning and Data Mining.
[53] Navneet Kaur,et al. Opinion mining and sentiment analysis , 2016, 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom).
[54] Carolyn Penstein Rosé,et al. Sentiment Analysis in MOOC Discussion Forums: What does it tell us? , 2014, EDM.
[55] Martin Haselmayer,et al. Sentiment analysis of political communication: combining a dictionary approach with crowdcoding , 2016, Quality & Quantity.
[56] Andrea Esuli,et al. SentiWordNet 3.0: An Enhanced Lexical Resource for Sentiment Analysis and Opinion Mining , 2010, LREC.
[57] Mitsuru Ishizuka,et al. SentiFul: A Lexicon for Sentiment Analysis , 2011, IEEE Transactions on Affective Computing.
[58] Peter D. Turney. Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews , 2002, ACL.
[59] Gabriele Bavota,et al. Sentiment Analysis for Software Engineering: How Far Can We Go? , 2018, 2018 IEEE/ACM 40th International Conference on Software Engineering (ICSE).
[60] Krzysztof Z. Gajos,et al. The Development and Evaluation of DEFT, a Web-Based Tool for Engineering Design Education , 2018, IEEE Transactions on Learning Technologies.
[61] Michael Schubert,et al. Measuring Learner Tone and Sentiment at Scale Via Text Analysis of Forum Posts , 2018 .
[62] Nirmalie Wiratunga,et al. Contextual sentiment analysis for social media genres , 2016, Knowl. Based Syst..
[63] Yiming Yang,et al. XLNet: Generalized Autoregressive Pretraining for Language Understanding , 2019, NeurIPS.