Enabling Deep Learning of Emotion With First-Person Seed Expressions
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Muhammad Abdul-Mageed | Lyle H. Ungar | Hassan Alhuzali | L. Ungar | Hassan Alhuzali | Muhammad Abdul-Mageed
[1] Jacob Cohen. A Coefficient of Agreement for Nominal Scales , 1960 .
[2] P. Ekman. Universals and cultural differences in facial expressions of emotion. , 1972 .
[3] J. R. Landis,et al. The measurement of observer agreement for categorical data. , 1977, Biometrics.
[4] R. Plutchik. On emotion: The chicken-and-egg problem revisited , 1985 .
[5] P. Ekman. An argument for basic emotions , 1992 .
[6] R. Plutchik. The psychology and biology of emotion , 1994 .
[7] Yoshua Bengio,et al. Learning long-term dependencies with gradient descent is difficult , 1994, IEEE Trans. Neural Networks.
[8] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[9] Bo Pang,et al. A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts , 2004, ACL.
[10] Hiroshi Kanayama,et al. Deeper Sentiment Analysis Using Machine Translation Technology , 2004, COLING.
[11] Janyce Wiebe,et al. Learning Subjective Language , 2004, CL.
[12] Rada Mihalcea,et al. Learning Multilingual Subjective Language via Cross-Lingual Projections , 2007, ACL.
[13] Stan Szpakowicz,et al. Identifying Expressions of Emotion in Text , 2007, TSD.
[14] Xiaojun Wan,et al. Using Bilingual Knowledge and Ensemble Techniques for Unsupervised Chinese Sentiment Analysis , 2008, EMNLP.
[15] B. Alexandra,et al. Rethinking Sentiment Analysis in the News: from Theory to Practice and back , 2009 .
[16] Daniel Jurafsky,et al. Distant supervision for relation extraction without labeled data , 2009, ACL.
[17] English Corpora,et al. Cross-Linguistic Sentiment Analysis: From English to Spanish , 2009 .
[18] Thin Nguyen,et al. Mood Patterns and Affective Lexicon Access in Weblogs , 2010, ACL.
[19] Bing Liu. Sentiment Analysis and Opinion Mining Opinion Mining , 2011 .
[20] Ohad Shamir,et al. Better Mini-Batch Algorithms via Accelerated Gradient Methods , 2011, NIPS.
[21] Muhammad Abdul-Mageed,et al. Subjectivity and Sentiment Analysis of Modern Standard Arabic , 2011, ACL.
[22] Nitish Srivastava,et al. Improving neural networks by preventing co-adaptation of feature detectors , 2012, ArXiv.
[23] Bing Liu,et al. Sentiment Analysis and Opinion Mining , 2012, Synthesis Lectures on Human Language Technologies.
[24] Amit P. Sheth,et al. Harnessing Twitter "Big Data" for Automatic Emotion Identification , 2012, 2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing.
[25] Saif Mohammad,et al. #Emotional Tweets , 2012, *SEMEVAL.
[26] Munmun De Choudhury,et al. Not All Moods Are Created Equal! Exploring Human Emotional States in Social Media , 2012, ICWSM.
[27] Saif Mohammad,et al. CROWDSOURCING A WORD–EMOTION ASSOCIATION LEXICON , 2013, Comput. Intell..
[28] Razvan Pascanu,et al. On the difficulty of training recurrent neural networks , 2012, ICML.
[29] Yoshua Bengio,et al. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation , 2014, EMNLP.
[30] Verena Rieser,et al. An Arabic Twitter Corpus for Subjectivity and Sentiment Analysis , 2014, LREC.
[31] Muhammad Abdul-Mageed,et al. SAMAR: Subjectivity and sentiment analysis for Arabic social media , 2014, Comput. Speech Lang..
[32] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[33] Saif Mohammad,et al. Sentiment after Translation: A Case-Study on Arabic Social Media Posts , 2015, NAACL.
[34] Yoshua Bengio,et al. Gated Feedback Recurrent Neural Networks , 2015, ICML.
[35] Amir F. Atiya,et al. ASTD: Arabic Sentiment Tweets Dataset , 2015, EMNLP.
[36] Svitlana Volkova,et al. Inferring Perceived Demographics from User Emotional Tone and User-Environment Emotional Contrast , 2016, ACL.
[37] Saif Mohammad,et al. How Translation Alters Sentiment , 2016, J. Artif. Intell. Res..
[38] Saif Mohammad,et al. Capturing Reliable Fine-Grained Sentiment Associations by Crowdsourcing and Best–Worst Scaling , 2016, NAACL.
[39] Jasy Suet Yan Liew,et al. Exploring Fine-Grained Emotion Detection in Tweets , 2016, NAACL.
[40] Muhammad Abdul-Mageed,et al. Does ‘well-being’ translate on Twitter? , 2016, EMNLP.
[41] Preslav Nakov,et al. SemEval-2016 Task 4: Sentiment Analysis in Twitter , 2016, *SEMEVAL.
[42] Yi Yang,et al. Overcoming Language Variation in Sentiment Analysis with Social Attention , 2015, TACL.
[43] Saif Mohammad,et al. Emotion Intensities in Tweets , 2017, *SEMEVAL.
[44] Muhammad Abdul-Mageed,et al. EmoNet: Fine-Grained Emotion Detection with Gated Recurrent Neural Networks , 2017, ACL.
[45] L. F. Barrett. How Emotions Are Made: The Secret Life of the Brain , 2017 .
[46] B. Mesquita,et al. Doing emotions: The role of culture in everyday emotions , 2017 .
[47] Hassan Alhuzali,et al. Think Before Your Click: Data and Models for Adult Content in Arabic Twitter , 2018 .
[48] Muhammad Abdul-Mageed. Learning Subjective Language : Feature Engineered vs . Deep Models , 2018 .
[49] Saif Mohammad,et al. SemEval-2018 Task 1: Affect in Tweets , 2018, *SEMEVAL.
[50] Muhammad Abdul-Mageed,et al. You Tweet What You Speak: A City-Level Dataset of Arabic Dialects , 2018, LREC.
[51] Muhammad Abdul-Mageed,et al. Modeling Arabic subjectivity and sentiment in lexical space , 2017, Inf. Process. Manag..
[52] V. Sharmila,et al. Using Hashtags to Capture Fine Emotion Categories from Tweets , 2019 .