메뉴 건너뛰기




Volumn 1, Issue , 2017, Pages 873-883

Context-dependent sentiment analysis in user-generated videos

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; DATA MINING; LINGUISTICS; LONG SHORT-TERM MEMORY;

EID: 85039788178     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.18653/v1/P17-1081     Document Type: Conference Paper
Times cited : (816)

References (43)
  • 4
    • 85046586891 scopus 로고    scopus 로고
    • SenticNet 4: A semantic resource for sentiment analysis based on conceptual primitives
    • Erik Cambria, Soujanya Poria, Rajiv Bajpai, and Björn Schuller. 2016. SenticNet 4: A semantic resource for sentiment analysis based on conceptual primitives. In COLING. pages 2666-2677.
    • (2016) COLING , pp. 2666-2677
    • Cambria, E.1    Poria, S.2    Bajpai, R.3    Schuller, B.4
  • 5
    • 84899050913 scopus 로고    scopus 로고
    • Jumping NLP curves: A review of natural language processing research
    • Erik Cambria and Bebo White. 2014. Jumping NLP curves: A review of natural language processing research. IEEE Computational Intelligence Magazine 9(2):48-57.
    • (2014) IEEE Computational Intelligence Magazine , vol.9 , Issue.2 , pp. 48-57
    • Cambria, E.1    White, B.2
  • 8
    • 84898877448 scopus 로고    scopus 로고
    • Semantic audio-visual data fusion for automatic emotion recognition
    • Dragos Datcu and L Rothkrantz. 2008. Semantic audio-visual data fusion for automatic emotion recognition. Euromedia'2008.
    • (2008) Euromedia'2008
    • Datcu, D.1    Rothkrantz, L.2
  • 9
    • 0031378649 scopus 로고    scopus 로고
    • Facial emotion recognition using multi-modal information
    • Liyanage C De Silva, Tsutomu Miyasato, and Ryohei Nakatsu. 1997. Facial emotion recognition using multi-modal information. In Proceedings of ICICS. IEEE, volume 1, pages 397-401.
    • (1997) Proceedings of ICICS. IEEE , vol.1 , pp. 397-401
    • De Silva, L.C.1    Miyasato, T.2    Nakatsu, R.3
  • 10
    • 80052250414 scopus 로고    scopus 로고
    • Adaptive subgradient methods for online learning and stochastic optimization
    • Jul
    • John Duchi, Elad Hazan, and Yoram Singer. 2011. Adaptive subgradient methods for online learning and stochastic optimization. Journal of Machine Learning Research 12(Jul):2121-2159.
    • (2011) Journal of Machine Learning Research , vol.12 , pp. 2121-2159
    • Duchi, J.1    Hazan, E.2    Singer, Y.3
  • 12
    • 77949304464 scopus 로고    scopus 로고
    • On-line emotion recognition in a 3-d activation-valence-time continuum using acoustic and linguistic cues
    • Florian Eyben, Martin Wöllmer, Alex Graves, Björn Schuller, Ellen Douglas-Cowie, and Roddy Cowie. 2010a. On-line emotion recognition in a 3-d activation-valence-time continuum using acoustic and linguistic cues. Journal on Multimodal User Interfaces 3(1-2):7-19.
    • (2010) Journal on Multimodal User Interfaces , vol.3 , Issue.1-2 , pp. 7-19
    • Eyben, F.1    Wöllmer, M.2    Graves, A.3    Schuller, B.4    Douglas-Cowie, E.5    Cowie, R.6
  • 18
    • 77949298130 scopus 로고    scopus 로고
    • Multimodal emotion recognition in speech-based interaction using facial expression, body gesture and acoustic analysis
    • Loic Kessous, Ginevra Castellano, and George Cari-dakis. 2010. Multimodal emotion recognition in speech-based interaction using facial expression, body gesture and acoustic analysis. Journal on Multimodal User Interfaces 3(1-2):33-48.
    • (2010) Journal on Multimodal User Interfaces , vol.3 , Issue.1-2 , pp. 33-48
    • Kessous, L.1    Castellano, G.2    Caridakis, G.3
  • 19
    • 85054979013 scopus 로고    scopus 로고
    • Label embedding for zero-shot fine-grained named entity typing
    • Osaka
    • Yukun Ma, Erik Cambria, and Sa Gao. 2016. Label embedding for zero-shot fine-grained named entity typing. In COLING. Osaka, pages 171-180.
    • (2016) COLING , pp. 171-180
    • Ma, Y.1    Cambria, E.2    Gao, S.3
  • 20
    • 85017176110 scopus 로고    scopus 로고
    • Deep learning based document modeling for personality detection from text
    • Navonil Majumder, Soujanya Poria, Alexander Gel-bukh, and Erik Cambria. 2017. Deep learning based document modeling for personality detection from text. IEEE Intelligent Systems 32(2):74-79.
    • (2017) IEEE Intelligent Systems , vol.32 , Issue.2 , pp. 74-79
    • Majumder, N.1    Poria, S.2    Gelbukh, A.3    Cambria, E.4
  • 21
    • 62949227381 scopus 로고    scopus 로고
    • Audio-visual emotion recognition using Gaussian mixture models for face and voice
    • IEEE
    • Angeliki Metallinou, Sungbok Lee, and Shrikanth Narayanan. 2008. Audio-visual emotion recognition using gaussian mixture models for face and voice. In Tenth IEEE International Symposium on ISM 2008. IEEE, pages 250-257.
    • (2008) Tenth IEEE International Symposium on ISM 2008 , pp. 250-257
    • Metallinou, A.1    Lee, S.2    Narayanan, S.3
  • 23
    • 84883754505 scopus 로고
    • From utterance to text: The bias of language in speech and writing
    • David Olson. 1977. From utterance to text: The bias of language in speech and writing. Harvard educational review 47(3):257-281.
    • (1977) Harvard Educational Review , vol.47 , Issue.3 , pp. 257-281
    • Olson, D.1
  • 25
    • 84907316816 scopus 로고    scopus 로고
    • Utterance-level multimodal sentiment analysis
    • Verónica Pérez-Rosas, Rada Mihalcea, and Louis-Philippe Morency. 2013. Utterance-level multimodal sentiment analysis. In ACL (1). pages 973-982.
    • (2013) ACL , Issue.1 , pp. 973-982
    • Pérez-Rosas, V.1    Mihalcea, R.2    Morency, L.-P.3
  • 26
    • 85011844403 scopus 로고    scopus 로고
    • A review of affective computing: From unimodal analysis to multimodal fusion
    • Soujanya Poria, Erik Cambria, Rajiv Bajpai, and Amir Hussain. 2017a. A review of affective computing: From unimodal analysis to multimodal fusion. Information Fusion.
    • (2017) Information Fusion
    • Poria, S.1    Cambria, E.2    Bajpai, R.3    Hussain, A.4
  • 27
    • 84943617823 scopus 로고    scopus 로고
    • Deep convolutional neural network textual features and multiple kernel learning for utterance-level multimodal sentiment analysis
    • Soujanya Poria, Erik Cambria, and Alexander Gel-bukh. 2015. Deep convolutional neural network textual features and multiple kernel learning for utterance-level multimodal sentiment analysis. In Proceedings of EMNLP. pages 2539-2544.
    • (2015) Proceedings of EMNLP , pp. 2539-2544
    • Poria, S.1    Cambria, E.2    Gelbukh, A.3
  • 28
    • 84981713239 scopus 로고    scopus 로고
    • Aspect extraction for opinion mining with a deep convolutional neural network
    • Soujanya Poria, Erik Cambria, and Alexander Gel-bukh. 2016a. Aspect extraction for opinion mining with a deep convolutional neural network. Knowledge-Based Systems 108:42-49.
    • (2016) Knowledge-Based Systems , vol.108 , pp. 42-49
    • Poria, S.1    Cambria, E.2    Gelbukh, A.3
  • 29
    • 85046580416 scopus 로고    scopus 로고
    • A deeper look into sarcastic tweets using deep convolutional neural networks
    • Soujanya Poria, Erik Cambria, D Hazarika, and Prateek Vij. 2016b. A deeper look into sarcastic tweets using deep convolutional neural networks. In COLING. pages 1601-1612.
    • (2016) COLING , pp. 1601-1612
    • Poria, S.1    Cambria, E.2    Hazarika, D.3    Vij, P.4
  • 30
    • 85007199314 scopus 로고    scopus 로고
    • Sentic LDA: Improving on LDA with semantic similarity for aspect-based sentiment analysis
    • Soujanya Poria, Iti Chaturvedi, Erik Cambria, and Federica Bisio. 2016c. Sentic LDA: Improving on LDA with semantic similarity for aspect-based sentiment analysis. In IJCNN. pages 4465-4473.
    • (2016) IJCNN , pp. 4465-4473
    • Poria, S.1    Chaturvedi, I.2    Cambria, E.3    Bisio, F.4
  • 32
    • 85012926540 scopus 로고    scopus 로고
    • Ensemble application of convolutional neural networks and multiple kernel learning for multimodal sentiment analysis
    • Soujanya Poria, Haiyun Peng, Amir Hussain, Newton Howard, and Erik Cambria. 2017b. Ensemble application of convolutional neural networks and multiple kernel learning for multimodal sentiment analysis. Neurocomputing.
    • (2017) Neurocomputing
    • Poria, S.1    Peng, H.2    Hussain, A.3    Howard, N.4    Cambria, E.5
  • 33
    • 84890636931 scopus 로고    scopus 로고
    • A graph-based approach to commonsense concept extraction and semantic similarity detection
    • Dheeraj Rajagopal, Erik Cambria, Daniel Olsher, and Kenneth Kwok. 2013. A graph-based approach to commonsense concept extraction and semantic similarity detection. In WWW. Rio De Janeiro, pages 565-570.
    • (2013) WWW. Rio De Janeiro , pp. 565-570
    • Rajagopal, D.1    Cambria, E.2    Olsher, D.3    Kwok, K.4
  • 35
    • 84857841688 scopus 로고    scopus 로고
    • Recognizing affect from linguistic information in 3d continuous space
    • Björn Schuller. 2011. Recognizing affect from linguistic information in 3d continuous space. IEEE Transactions on Affective Computing 2(4):192-205.
    • (2011) IEEE Transactions on Affective Computing , vol.2 , Issue.4 , pp. 192-205
    • Schuller, B.1
  • 36
    • 84926358845 scopus 로고    scopus 로고
    • Recursive deep models for semantic compositionality over a sentiment tree-bank
    • Richard Socher, Alex Perelygin, Jean Y Wu, Jason Chuang, Christopher D Manning, Andrew Y Ng, and Christopher Potts. 2013. Recursive deep models for semantic compositionality over a sentiment tree-bank. In Proceedings of EMNLP. pages 1631-1642.
    • (2013) Proceedings of EMNLP , pp. 1631-1642
    • Socher, R.1    Perelygin, A.2    Wu, J.Y.3    Chuang, J.4    Manning, C.D.5    Ng, A.Y.6    Potts, C.7
  • 37
    • 84899005618 scopus 로고    scopus 로고
    • Rate-coded restricted boltzmann machines for face recognition
    • T Leen, T Dietterich, and V Tresp, editors
    • Vee Teh and Geoffrey E Hinton. 2001. Rate-coded restricted boltzmann machines for face recognition. In T Leen, T Dietterich, and V Tresp, editors, Advances in neural information processing system. volume 13, pages 908-914.
    • (2001) Advances in Neural Information Processing System , vol.13 , pp. 908-914
    • Teh, V.1    Hinton, G.E.2
  • 38
    • 84862156369 scopus 로고    scopus 로고
    • Abandoning emotion classes-towards continuous emotion recognition with modelling of long-range dependencies
    • 2008
    • Martin Wöllmer, Florian Eyben, Stephan Reiter, Björn W Schuller, Cate Cox, Ellen Douglas-Cowie, Roddy Cowie, et al. 2008. Abandoning emotion classes-towards continuous emotion recognition with modelling of long-range dependencies. In In-terspeech. volume 2008, pages 597-600.
    • (2008) Interspeech , pp. 597-600
    • Wöllmer, M.1    Eyben, F.2    Reiter, S.3    Schuller, B.W.4    Cox, C.5    Douglas-Cowie, E.6    Cowie, R.7
  • 40
    • 84857911091 scopus 로고    scopus 로고
    • Emotion recognition of affective speech based on multiple classifiers using acoustic-prosodic information and semantic labels
    • Chung-Hsien Wu and Wei-Bin Liang. 2011. Emotion recognition of affective speech based on multiple classifiers using acoustic-prosodic information and semantic labels. IEEE Transactions on Affective Computing 2(1):10-21.
    • (2011) IEEE Transactions on Affective Computing , vol.2 , Issue.1 , pp. 10-21
    • Wu, C.-H.1    Liang, W.-B.2
  • 42
    • 85012037104 scopus 로고    scopus 로고
    • Multimodal sentiment intensity analysis in videos: Facial gestures and verbal messages
    • Amir Zadeh, Rowan Zellers, Eli Pincus, and Louis-Philippe Morency. 2016. Multimodal sentiment intensity analysis in videos: Facial gestures and verbal messages. IEEE Intelligent Systems 31(6):82-88.
    • (2016) IEEE Intelligent Systems , vol.31 , Issue.6 , pp. 82-88
    • Zadeh, A.1    Zellers, R.2    Pincus, E.3    Morency, L.-P.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.