MixedEmotions: An Open-Source Toolbox for Multimodal Emotion Analysis
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J. Fernando Sánchez-Rada | Paul Buitelaar | Björn W. Schuller | John P. McCrae | Mihael Arcan | Vincenzo Masucci | Giovanni Tummarello | Andrejs Abele | Carlos A. Iglesias | Pavel Smrž | Nicolaus Heise | Pavel Matějka | Andreas Giefer | Hesam Sagha | Michal Hradiš | Maximilian Schmitt | Carlos Navarro | Vladimir Andryushechkin | Ian D. Wood | Filip Povolný | Sapna Negi | Cécile Robin | Housam Ziad | Francesco A. Danza | Ciro Caterino | Marek Klimeš | J. F. Sánchez-Rada | Björn Schuller | G. Tummarello | P. Matejka | Hesam Sagha | P. Buitelaar | P. Smrz | M. Schmitt | C. Iglesias | Mihael Arcan | Andrejs Abele | S. Negi | Michal Hradiš | Cécile Robin | A. Giefer | Ciro Caterino | Vincenzo Masucci | Vladimir Andryushechkin | Housam Ziad | Carlos Navarro | Nicolaus Heise | F. Danza | Filip Povolný | Marek Klimeš | Maximilian Schmitt | F. A. Danza
[1] Björn W. Schuller,et al. openXBOW - Introducing the Passau Open-Source Crossmodal Bag-of-Words Toolkit , 2016, J. Mach. Learn. Res..
[2] Jaime Redondo,et al. The Spanish adaptation of ANEW (Affective Norms for English Words) , 2007, Behavior research methods.
[3] Andrea Esuli,et al. SENTIWORDNET: A Publicly Available Lexical Resource for Opinion Mining , 2006, LREC.
[4] Jure Leskovec,et al. Patterns of temporal variation in online media , 2011, WSDM '11.
[5] Björn W. Schuller,et al. Introducing CURRENNT: the munich open-source CUDA recurrent neural network toolkit , 2015, J. Mach. Learn. Res..
[6] Chih-Jen Lin,et al. LIBLINEAR: A Library for Large Linear Classification , 2008, J. Mach. Learn. Res..
[7] Fabien Ringeval,et al. Facing Realism in Spontaneous Emotion Recognition from Speech: Feature Enhancement by Autoencoder with LSTM Neural Networks , 2016, INTERSPEECH.
[8] Adam Herout,et al. Usability of Pilot's Gaze in Aeronautic Cockpit for Safer Aircraft , 2015, 2015 IEEE 18th International Conference on Intelligent Transportation Systems.
[9] Rediet Abebe. Can Cascades be Predicted? , 2014 .
[10] Yaser Sheikh,et al. OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[11] Jens Lehmann,et al. Integrating NLP Using Linked Data , 2013, SEMWEB.
[12] Doug Downey,et al. A probabilistic graphical model for brand reputation assessment in social networks , 2013, 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013).
[13] Yongzhao Zhan,et al. Learning Salient Features for Speech Emotion Recognition Using Convolutional Neural Networks , 2014, IEEE Transactions on Multimedia.
[14] J. Fernando Sánchez-Rada,et al. Senpy: A Pragmatic Linked Sentiment Analysis Framework , 2016, 2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA).
[15] Catherine Pelachaud,et al. EmotionML - An Upcoming Standard for Representing Emotions and Related States , 2011, ACII.
[16] Long Jiang,et al. User-level sentiment analysis incorporating social networks , 2011, KDD.
[17] Saleem Alhabash,et al. Redefining virality in less broad strokes: Predicting viral behavioral intentions from motivations and uses of Facebook and Twitter , 2015, New Media Soc..
[18] John F. Sowa,et al. Conceptual Structures: Information Processing in Mind and Machine , 1983 .
[19] Erik Marchi,et al. Enhancing Multilingual Recognition of Emotion in Speech by Language Identification , 2016, INTERSPEECH.
[20] J. M. Kittross. The measurement of meaning , 1959 .
[21] Björn W. Schuller,et al. Stacked denoising autoencoders for sentiment analysis: a review , 2017, WIREs Data Mining Knowl. Discov..
[22] German Rigau,et al. Book Reviews: EuroWordNet: A Multilingual Database with Lexical Semantic Networks , 1999, CL.
[23] Fabien Ringeval,et al. AVEC 2017: Real-life Depression, and Affect Recognition Workshop and Challenge , 2017, AVEC@ACM Multimedia.
[24] Søren Holdt Jensen,et al. Using Audio-Derived Affective Offset to Enhance TV Recommendation , 2014, IEEE Transactions on Multimedia.
[25] J. Fernando Sánchez-Rada,et al. Onyx: A Linked Data approach to emotion representation , 2016, Inf. Process. Manag..
[26] Arthur A. Raney,et al. Entertainment as Pleasurable and Meaningful: Identifying Hedonic and Eudaimonic Motivations for Entertainment Consumption , 2011 .
[27] Ian D. Wood,et al. Emoji as Emotion Tags for Tweets , 2016 .
[28] Carlo Strapparava,et al. WordNet Affect: an Affective Extension of WordNet , 2004, LREC.
[29] Björn W. Schuller,et al. Cross lingual speech emotion recognition using canonical correlation analysis on principal component subspace , 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[30] J. Fernando Sánchez-Rada,et al. Multimodal multimodel emotion analysis as linked data , 2017, 2017 Seventh International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW).
[31] Udo Hahn,et al. EmoBank: Studying the Impact of Annotation Perspective and Representation Format on Dimensional Emotion Analysis , 2017, EACL.
[32] Horst Bischof,et al. Annotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization , 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).
[33] Joemon M. Jose,et al. Integrating facial expressions into user profiling for the improvement of a multimodal recommender system , 2009, 2009 IEEE International Conference on Multimedia and Expo.
[34] Björn W. Schuller,et al. Sentiment analysis and opinion mining: on optimal parameters and performances , 2015, WIREs Data Mining Knowl. Discov..
[35] Carlo Strapparava,et al. SemEval-2007 Task 14: Affective Text , 2007, Fourth International Workshop on Semantic Evaluations (SemEval-2007).
[36] Florian Metze,et al. Robust audio-codebooks for large-scale event detection in consumer videos , 2013, INTERSPEECH.
[37] Eduardo Coutinho,et al. Enhanced semi-supervised learning for multimodal emotion recognition , 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[38] P. Ekman,et al. Constants across cultures in the face and emotion. , 1971, Journal of personality and social psychology.
[39] Fabien Ringeval,et al. Continuous Estimation of Emotions in Speech by Dynamic Cooperative Speaker Models , 2017, IEEE Transactions on Affective Computing.
[40] Fabien Ringeval,et al. AVEC 2016: Depression, Mood, and Emotion Recognition Workshop and Challenge , 2016, AVEC@ACM Multimedia.
[41] Jorma Laaksonen,et al. Content-Based Prediction of Movie Style, Aesthetics, and Affect: Data Set and Baseline Experiments , 2014, IEEE Transactions on Multimedia.
[42] R. Plutchik. A GENERAL PSYCHOEVOLUTIONARY THEORY OF EMOTION , 1980 .
[43] Andrew Zisserman,et al. Deep Face Recognition , 2015, BMVC.
[44] Lung-Hao Lee,et al. Building Chinese Affective Resources in Valence-Arousal Dimensions , 2016, NAACL.
[45] Pavel Matejka,et al. Investigation of Bottle-Neck Features for Emotion Recognition , 2016, TSD.
[46] Fabien Ringeval,et al. Introducing the RECOLA multimodal corpus of remote collaborative and affective interactions , 2013, 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG).
[47] James O'Neill,et al. NUIG at EmoInt-2017: BiLSTM and SVR Ensemble to Detect Emotion Intensity , 2017, WASSA@EMNLP.
[48] Michael Gamon,et al. Predicting Responses to Microblog Posts , 2012, NAACL.
[49] Preslav Nakov,et al. SemEval-2013 Task 2: Sentiment Analysis in Twitter , 2013, *SEMEVAL.
[50] Josephine Sullivan,et al. One millisecond face alignment with an ensemble of regression trees , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[51] Huan Liu,et al. Mining social media with social theories: a survey , 2014, SKDD.
[52] Mihai Surdeanu,et al. The Stanford CoreNLP Natural Language Processing Toolkit , 2014, ACL.
[53] Yoshua Bengio,et al. Challenges in representation learning: A report on three machine learning contests , 2013, Neural Networks.
[54] Peter Robinson,et al. Rendering of Eyes for Eye-Shape Registration and Gaze Estimation , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[55] C. Hoede. Modelling knowledge in Electronic Study Books , 1992 .
[56] Xuelong Li,et al. Overlapping Community Detection for Multimedia Social Networks , 2017, IEEE Transactions on Multimedia.
[57] J. Russell,et al. The circumplex model of affect: An integrative approach to affective neuroscience, cognitive development, and psychopathology , 2005, Development and Psychopathology.
[58] Preslav Nakov,et al. SemEval-2015 Task 10: Sentiment Analysis in Twitter , 2015, *SEMEVAL.
[59] K. Scherer. What are emotions? And how can they be measured? , 2005 .
[60] Jurij F. Tasic,et al. Affective Labeling in a Content-Based Recommender System for Images , 2013, IEEE Transactions on Multimedia.
[61] Ron Tamborini,et al. Testing a Dual-Process Model of Media Enjoyment and Appreciation , 2014 .
[62] Eric Gilbert,et al. VADER: A Parsimonious Rule-Based Model for Sentiment Analysis of Social Media Text , 2014, ICWSM.
[63] Erik Marchi,et al. Introducing the Weighted Trustability Evaluator for Crowdsourcing Exemplified by Speaker Likability Classification , 2016, LREC.
[64] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[65] Julio Villena-Román,et al. Overview of TASS 2015 , 2015, TASS@SEPLN.
[66] Christopher Potts,et al. Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank , 2013, EMNLP.
[67] George Trigeorgis,et al. Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network , 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[68] Huan Liu,et al. Exploiting social relations for sentiment analysis in microblogging , 2013, WSDM.
[69] Maja Pantic,et al. The SEMAINE corpus of emotionally coloured character interactions , 2010, 2010 IEEE International Conference on Multimedia and Expo.
[70] Ira Kemelmacher-Shlizerman,et al. The MegaFace Benchmark: 1 Million Faces for Recognition at Scale , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[71] Paul Buitelaar,et al. A Study of Suggestions in Opinionated Texts and their Automatic Detection , 2016, *SEMEVAL.
[72] Panos Vassiliadis,et al. A Survey of Extract-Transform-Load Technology , 2009, Int. J. Data Warehous. Min..
[73] Jason Baldridge,et al. Twitter Polarity Classification with Label Propagation over Lexical Links and the Follower Graph , 2011, ULNLP@EMNLP.
[74] J. Fernando Sánchez-Rada,et al. A Linked Data Model for Multimodal Sentiment and Emotion Analysis , 2015, LDL@IJCNLP.
[75] Lyle H. Ungar,et al. Modelling Valence and Arousal in Facebook posts , 2016, WASSA@NAACL-HLT.
[76] David A. McAllester,et al. Object Detection with Discriminatively Trained Part Based Models , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[77] Jürgen Schmidhuber,et al. Bidirectional LSTM Networks for Improved Phoneme Classification and Recognition , 2005, ICANN.
[78] Mohammad H. Mahoor,et al. DISFA: A Spontaneous Facial Action Intensity Database , 2013, IEEE Transactions on Affective Computing.
[79] M. Bradley,et al. Affective Norms for English Words (ANEW): Instruction Manual and Affective Ratings , 1999 .
[80] Christian Gütl,et al. On using JSON-LD to create evolvable RESTful services , 2012, WS-REST.
[81] D. Tufis,et al. BalkaNet : Aims , Methods , Results and Perspectives . A General Overview , 2004 .
[82] K. Scherer,et al. The World of Emotions is not Two-Dimensional , 2007, Psychological science.
[83] Jeffrey T. Hancock,et al. Experimental evidence of massive-scale emotional contagion through social networks , 2014, Proceedings of the National Academy of Sciences.
[84] L. Lin,et al. A concordance correlation coefficient to evaluate reproducibility. , 1989, Biometrics.
[85] Peter Robinson,et al. OpenFace: An open source facial behavior analysis toolkit , 2016, 2016 IEEE Winter Conference on Applications of Computer Vision (WACV).
[86] Daniel Gatica-Perez,et al. Modeling Flickr Communities Through Probabilistic Topic-Based Analysis , 2010, IEEE Transactions on Multimedia.
[87] Paul Buitelaar,et al. Expanding wordnets to new languages with multilingual sense disambiguation , 2016, COLING.
[88] Shaun J. Canavan,et al. BP4D-Spontaneous: a high-resolution spontaneous 3D dynamic facial expression database , 2014, Image Vis. Comput..
[89] Jens Lehmann,et al. DBpedia: A Nucleus for a Web of Open Data , 2007, ISWC/ASWC.
[90] Tim Berners-Lee,et al. Linked Data - The Story So Far , 2009, Int. J. Semantic Web Inf. Syst..
[91] Paul Buitelaar,et al. A Comparison Of Emotion Annotation Schemes And A New Annotated Data Set , 2018, LREC.
[92] John P. McCrae,et al. Toward a truly multilingual GlobalWordnet Grid , 2016, GWC.
[93] Wei Hu,et al. Mutually Enhancing Community Detection and Sentiment Analysis on Twitter Networks , 2013 .
[94] Bing Liu,et al. Mining and summarizing customer reviews , 2004, KDD.
[95] Carlos Angel Iglesias,et al. Linked Opinions: Describing Sentiments on the Structured Web of Data , 2011, SDoW@ISWC.
[96] Björn W. Schuller,et al. Cross-language acoustic emotion recognition: An overview and some tendencies , 2015, 2015 International Conference on Affective Computing and Intelligent Interaction (ACII).
[97] Erik Wilde,et al. URI Fragment Identifiers for the text/plain Media Type , 2008, RFC.
[98] Erik Wilde,et al. URI Fragment Identifiers for the text/csv Media Type , 2008, RFC.
[99] Christiane Fellbaum,et al. Book Reviews: WordNet: An Electronic Lexical Database , 1999, CL.
[100] Björn W. Schuller,et al. Recent developments in openSMILE, the munich open-source multimedia feature extractor , 2013, ACM Multimedia.
[101] Saif Mohammad,et al. #Emotional Tweets , 2012, *SEMEVAL.
[102] Fabien Ringeval,et al. At the Border of Acoustics and Linguistics: Bag-of-Audio-Words for the Recognition of Emotions in Speech , 2016, INTERSPEECH.
[103] Navneet Kaur,et al. Opinion mining and sentiment analysis , 2016, 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom).
[104] Saif Mohammad,et al. WASSA-2017 Shared Task on Emotion Intensity , 2017, WASSA@EMNLP.
[105] Chong-Wah Ngo,et al. Deep Multimodal Learning for Affective Analysis and Retrieval , 2015, IEEE Transactions on Multimedia.
[106] M. De Domenico,et al. The Anatomy of a Scientific Rumor , 2013, Scientific Reports.
[107] J. Russell. Core affect and the psychological construction of emotion. , 2003, Psychological review.