메뉴 건너뛰기




Volumn 11, Issue 2, 2013, Pages 110-123

Words that fascinate the listener: Predicting affective ratings of on-line lectures

Author keywords

Emotion Recognition; Linguistic Features; Online Lectures; Technology Entertainment and Design Talks (TEDTalks); Text Classification

Indexed keywords

EMOTION RECOGNITION; LINGUISTIC FEATURES; ONLINE LECTURES; TECHNOLOGY-ENTERTAINMENT AND DESIGN TALKS (TEDTALKS); TEXT CLASSIFICATION;

EID: 84893511693     PISSN: 15393100     EISSN: 15393119     Source Type: Journal    
DOI: 10.4018/jdet.2013040106     Document Type: Review
Times cited : (20)

References (34)
  • 1
    • 84959115577 scopus 로고    scopus 로고
    • Experimentally augmenting an intelligent tutoring system with human-supplied capabilities: Adding human-provided emotional scaffolding to an automated reading tutor that listens
    • Pittsburgh, PA: IEEE
    • Aist, G., Kort, B., Reilly, R., Mostow, J., & Picard, R. (2002). Experimentally augmenting an intelligent tutoring system with human-supplied capabilities: Adding human-provided emotional scaffolding to an automated reading tutor that listens. In Proceedings of the International Conference on Multimodal Interfaces (ICMI), Pittsburgh, PA: IEEE.
    • (2002) Proceedings of the International Conference on Multimodal Interfaces (ICMI)
    • Aist, G.1    Kort, B.2    Reilly, R.3    Mostow, J.4    Picard, R.5
  • 2
    • 38749109275 scopus 로고    scopus 로고
    • Hedged responses and expressions of affect in human/human and human/computer tutorial interactions
    • Chicago, IL: CogSci
    • Bhatt, K., Evens, M., & Argamon, S. (2004). Hedged responses and expressions of affect in human/human and human/computer tutorial interactions. In Proceedings of Cognitive Science (pp. 114-119). Chicago, IL: CogSci.
    • (2004) Proceedings of Cognitive Science , pp. 114-119
    • Bhatt, K.1    Evens, M.2    Argamon, S.3
  • 3
    • 33645751270 scopus 로고    scopus 로고
    • Affect and learning:An exploratory look into the role of affect in learning with autotutor
    • Craig, S., Graesser, A., Sullins, J., & Gholson, B. (2004). Affect and learning: An exploratory look into the role of affect in learning with AutoTutor. Journal of Educational Media, 29(3), 241-250. doi:10.1080/ 1358165042000283101. (Pubitemid 39473944)
    • (2004) JOURNAL OF EDUCATIONAL MEDIA , vol.29 , Issue.3 , pp. 241-250
    • Craig, S.D.1    Graesser, A.C.2    Sullins, J.3    Gholson, B.4
  • 4
    • 0031269184 scopus 로고    scopus 로고
    • On the optimality of the simple bayesian classifier under zero one loss
    • Domingos, P., & Pazzani, M. (1997). Beyond independence: Conditions for the optimality of the simple Bayesian classifier. Machine Learning, 29, 103-130. doi:10.1023/A:1007413511361. (Pubitemid 127510035)
    • (1997) Machine Learning , vol.29 , Issue.2-3 , pp. 103-130
    • Domingos, P.1    Pazzani, M.2
  • 5
    • 38049015787 scopus 로고    scopus 로고
    • Investigating human tutor responses to student uncertainty for adaptive system development
    • Lisbon, Portugal: ACII. doi:10.1007/978-3-540-74889-2-59
    • Forbes-Riley, K., & Litman, D. (2007). Investigating human tutor responses to student uncertainty for adaptive system development. In Proceedings of Affective Computing and Intelligent Interaction (pp. 678-689). Lisbon, Portugal: ACII. doi:10.1007/978-3-540-74889-2-59.
    • (2007) Proceedings of Affective Computing and Intelligent Interaction , pp. 678-689
    • Forbes-Riley, K.1    Litman, D.2
  • 6
    • 77955427299 scopus 로고    scopus 로고
    • Designing and evaluating a wizarded uncertainty-adaptive spoken dialogue tutoring system
    • doi:10.1016/j.csl.2009.12.002
    • Forbes-Riley, K., & Litman, D. (2010). Designing and evaluating a wizarded uncertainty-adaptive spoken dialogue tutoring system. Computer Speech & Language, 25(1), 105-126. doi:10.1016/j.csl.2009.12.002.
    • (2010) Computer Speech & Language , vol.25 , Issue.1 , pp. 105-126
    • Forbes-Riley, K.1    Litman, D.2
  • 7
    • 79959299000 scopus 로고    scopus 로고
    • Benefits and challenges of real-time uncertainty detection and adaptation in a spoken dialogue computer tutor
    • doi:10.1016/j.specom.2011.02.006
    • Forbes-Riley, K., & Litman, D. (2011). Benefits and challenges of real-time uncertainty detection and adaptation in a spoken dialogue computer tutor. Speech Communication, 53(9-10), 1115-1136. doi:10.1016/j.specom.2011.02. 006.
    • (2011) Speech Communication , vol.53 , Issue.9-10 , pp. 1115-1136
    • Forbes-Riley, K.1    Litman, D.2
  • 8
    • 14344259210 scopus 로고    scopus 로고
    • Text categorization with many redundant features: Using aggressive feature selection to make SVMs competitive with C4.5
    • Proceedings, Twenty-First International Conference on Machine Learning, ICML 2004
    • Gabrilovich, E., & Markovitch, S. (2004). Text categorization with many redundant features: Using aggressive feature selection to make SVMs competitive with C4.5. In Proceedings of The Twenty-First International Conference on Machine Learning (ICML) (pp. 321-328). Banff, Canada: AAAI. (Pubitemid 40290824)
    • (2004) Proceedings, Twenty-First International Conference on Machine Learning, ICML 2004 , pp. 321-328
    • Gabrilovich, E.1    Markovitch, S.2
  • 11
    • 84957069814 scopus 로고    scopus 로고
    • Text Categorization with Support Vector Machines: Learning with many Relevant Features
    • Machine Learning: ECML-98
    • Joachims, T. (1998). Text categorization with support vector machines: Learning with many relevant features. In C. Nédellec & C. Rouveirol (Eds.), Proceedings of the 10th European Conference on Machine Learning (ECML) (pp. 137-142). Chemnitz, Germany: Springer. (Pubitemid 128067178)
    • (1998) LECTURE NOTES IN COMPUTER SCIENCE , Issue.1398 , pp. 137-142
    • Joachims, T.1
  • 12
    • 48349132559 scopus 로고    scopus 로고
    • Modeling user rating profiles for collaborative filtering
    • Vancouver, Canada: Neural Information Processing Systems Foundation
    • Marlin, B. (2003). Modeling user rating profiles for collaborative filtering. In Proceedings of Neural Information Processing Systems (NIPS). Vancouver, Canada: Neural Information Processing Systems Foundation.
    • (2003) Proceedings of Neural Information Processing Systems (NIPS)
    • Marlin, B.1
  • 13
    • 80052276586 scopus 로고    scopus 로고
    • Automatic movie ratings prediction using machine learning. [opatija, croatia: Ieee.]
    • Marovic, M., Mihokovic, M., Miksa, M., Pribil, S., & Tus, A. (2011). Automatic movie ratings prediction using machine learning. [Opatija, Croatia: IEEE.]. Proceedings of MIPRO, 2011, 1640-1645.
    • (2011) Proceedings of MIPRO , vol.2011 , pp. 1640-1645
    • Marovic, M.1    Mihokovic, M.2    Miksa, M.3    Pribil, S.4    Tus, A.5
  • 15
    • 3142555301 scopus 로고    scopus 로고
    • How to design informative tutoring feedback for multi-media learning
    • D. L. H. Niegemann, & R. Brunken (Eds.), Münster, Germany: Waxmann
    • Narciss, S., & Huth, K. (2004). How to design informative tutoring feedback for multi-media learning. In D. L. H. Niegemann, & R. Brunken (Eds.), Instructional design for multimedia learning (pp. 181-195). Münster, Germany: Waxmann.
    • (2004) Instructional Design for Multimedia Learning , pp. 181-195
    • Narciss, S.1    Huth, K.2
  • 17
    • 0003120218 scopus 로고    scopus 로고
    • Fast training of support vector machines using sequential minimal optimization
    • Cambridge, MA: MIT Press
    • Platt, J. C. (1999). Fast training of support vector machines using sequential minimal optimization. In Advances in kernel methods: Support vector learning (pp. 185-208). Cambridge, MA: MIT Press.
    • (1999) Advances in Kernel Methods: Support Vector Learning , pp. 185-208
    • Platt, J.C.1
  • 18
    • 79957442864 scopus 로고    scopus 로고
    • The impact of system feedback on learners' affective and physiological states
    • Pittsburgh, PA: Springer. doi:10.1007/978-3-642-13388-6-31
    • Pour, P. A., Hussein, M. S., Al Zoubi, O., D'Mello, S., & Calvo, R. A. (2011). The impact of system feedback on learners' affective and physiological states. In Intelligent Tutoring Systems (Vol. 6094, pp. 264-273). Pittsburgh, PA: Springer. doi:10.1007/978-3-642-13388-6-31.
    • (2011) Intelligent Tutoring Systems , vol.6094 , pp. 264-273
    • Pour, P.A.1    Hussein, M.S.2    Al Zoubi, O.3    D'Mello, S.4    Calvo, R.A.5
  • 20
    • 33745203977 scopus 로고    scopus 로고
    • Acoustic/prosodic and lexical correlates of charismatic speech
    • 9th European Conference on Speech Communication and Technology, Eurospeech Interspeech
    • Rosenberg, A., & Hirschberg, J. (2005). Acoustic/prosodic and lexical correlates of charismatic speech. In Proceedings of the Annual Conference of the International Speech Communication Association (INTERSPEECH) (pp. 513-516). Lisbon, Portugal: ISCA. (Pubitemid 43908112)
    • (2005) 9th European Conference on Speech Communication and Technology , pp. 513-516
    • Rosenberg, A.1    Hirschberg, J.2
  • 21
    • 45549117987 scopus 로고
    • Term-weighting approaches in automatic text retrieval
    • doi:10.1016/0306-4573(88)90021-0
    • Salton, G., & Buckley, C. (1988). Term-weighting approaches in automatic text retrieval. Information Processing & Management, 24(5), 513-523. doi:10.1016/0306-4573(88)90021-0.
    • (1988) Information Processing & Management , vol.24 , Issue.5 , pp. 513-523
    • Salton, G.1    Buckley, C.2
  • 22
    • 84857841688 scopus 로고    scopus 로고
    • Recognizing affect from linguistic information in 3d continuous space
    • doi:10.1109/T-AFFC.2011.17
    • Schuller, B. (2011). Recognizing affect from linguistic information in 3D continuous space. IEEE Transactions on Affective Computing, 2(4), 192-205. doi:10.1109/T-AFFC.2011.17.
    • (2011) IEEE Transactions on Affective Computing , vol.2 , Issue.4 , pp. 192-205
    • Schuller, B.1
  • 23
    • 79960846940 scopus 로고    scopus 로고
    • Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge
    • doi:10.1016/j.specom.2011.01.011
    • Schuller, B., Batliner, A., Steidl, S., & Seppi, D. (2011). Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge. Speech Communication, 53(9/10), 1062-1087. doi:10.1016/j.specom.2011.01.011.
    • (2011) Speech Communication , vol.53 , Issue.9-10 , pp. 1062-1087
    • Schuller, B.1    Batliner, A.2    Steidl, S.3    Seppi, D.4
  • 24
    • 79952012649 scopus 로고    scopus 로고
    • Learning and knowledge-based sentiment analysis in movie review key excerpts
    • A. Esposito, A. M. Esposito, R. Martone, V. Müller, & G. Scarpetta (Eds.), Springer. doi:10.1007/978-3-642-18184-9-39
    • Schuller, B., & Knaup, T. (2010). Learning and knowledge-based sentiment analysis in movie review key excerpts. In A. Esposito, A. M. Esposito, R. Martone, V. Müller, & G. Scarpetta (Eds.), Toward autonomous, adaptive, and context-aware multimodal interfaces: Theoretical and practical issues (Vol. 6456, pp. 448-472). Springer. doi:10.1007/978-3-642-18184-9-39.
    • (2010) Toward Autonomous, Adaptive, and Context-aware Multimodal Interfaces: Theoretical and Practical Issues , vol.6456 , pp. 448-472
    • Schuller, B.1    Knaup, T.2
  • 27
    • 0002442796 scopus 로고    scopus 로고
    • Machine learning in automated text categorization
    • doi:10.1145/505282.505283
    • Sebastiani, F. (2002). Machine learning in automated text categorization. ACM Computing Surveys, 34(1), 1-47. doi:10.1145/505282.505283.
    • (2002) ACM Computing Surveys , vol.34 , Issue.1 , pp. 1-47
    • Sebastiani, F.1
  • 29
    • 34249753618 scopus 로고
    • Support vector networks
    • doi:10.1007/BF00994018
    • Vapnik, C., & Cortes, V. (1995). Support vector networks. Machine Learning, 20, 273-297. doi:10.1007/BF00994018.
    • (1995) Machine Learning , vol.20 , pp. 273-297
    • Vapnik, C.1    Cortes, V.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.