메뉴 건너뛰기




Volumn 31, Issue 2, 2016, Pages 102-107

Affective Computing and Sentiment Analysis

Author keywords

affective computing; affective reasoning; emotion; intelligent systems; sentiment analysis

Indexed keywords

COMMERCE; DATA MINING; INTELLIGENT SYSTEMS; MARKETING; SIGNAL PROCESSING;

EID: 84963783209     PISSN: 15411672     EISSN: None     Source Type: Journal    
DOI: 10.1109/MIS.2016.31     Document Type: Article
Times cited : (1083)

References (42)
  • 1
    • 84883125601 scopus 로고    scopus 로고
    • Affective multimodal human-computer interaction
    • M. Pantic et al., "Affective Multimodal Human-Computer Interaction, " Proc. ACM Intl Conf. Multimedia, 2005, pp. 669-676.
    • (2005) Proc ACM Intl Conf. Multimedia , pp. 669-676
    • Pantic, M.1
  • 5
    • 79953822842 scopus 로고    scopus 로고
    • Affect detection: An interdisciplinary review of models, methods, and their applications
    • R. Calvo and S. DMello, "Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications, " IEEE Trans. Affective Computing, vol. 1, no. 1, 2010, pp. 18-37.
    • (2010) IEEE Trans. Affective Computing , vol.1 , Issue.1 , pp. 18-37
    • Calvo, R.1    DMello, S.2
  • 6
    • 57149144228 scopus 로고    scopus 로고
    • A survey of affect recognition methods: Audio, visual, and spontaneous expressions
    • Z. Zeng et al., "A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions, " IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 31, no. 1, 2009, pp. 39-58.
    • (2009) IEEE Trans. Pattern Analysis and Machine Intelligence , vol.31 , Issue.1 , pp. 39-58
    • Zeng, Z.1
  • 7
    • 79960846940 scopus 로고    scopus 로고
    • Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge
    • B. Schuller et al., "Recognising Realistic Emotions and Affect in Speech: State of the Art and Lessons Learnt from the First Challenge, " Speech Communication, vol. 53, nos. 9/10, 2011, pp. 1062-1087.
    • (2011) Speech Communication , vol.53 , Issue.9-10 , pp. 1062-1087
    • Schuller, B.1
  • 8
    • 84886395193 scopus 로고    scopus 로고
    • Categorical and dimensional affect analysis in continuous input: Current trends and future directions
    • H. Gunes and B. Schuller, "Categorical and Dimensional Affect Analysis in Continuous Input: Current Trends and Future Directions, " Image and Vision Computing, vol. 31, no. 2, 2012, pp. 120-136.
    • (2012) Image and Vision Computing , vol.31 , Issue.2 , pp. 120-136
    • Gunes, H.1    Schuller, B.2
  • 12
    • 84880219830 scopus 로고    scopus 로고
    • New avenues in opinion mining and sentiment analysis
    • E. Cambria et al., "New Avenues in Opinion Mining and Sentiment Analysis, " IEEE Intelligent Systems, vol. 28, no. 2, 2013, pp. 15-21.
    • (2013) IEEE Intelligent Systems , vol.28 , Issue.2 , pp. 15-21
    • Cambria, E.1
  • 18
    • 84941006193 scopus 로고    scopus 로고
    • Fusing audio, visual and textual clues for sentiment analysis from multimodal content
    • S. Poria et al., "Fusing Audio, Visual and Textual Clues for Sentiment Analysis from Multimodal Content, " Neurocomputing, vol. 174, part A, 2016, pp. 50-59.
    • (2016) Neurocomputing , vol.174 , pp. 50-59
    • Poria, S.1
  • 20
    • 33644632271 scopus 로고    scopus 로고
    • Annotating expressions of opinions and emotions in language
    • J. Wiebe, T. Wilson, and C. Cardie, "Annotating Expressions of Opinions and Emotions in Language, " Language Resources and Evaluation, vol. 39, no. 2, 2005, pp. 165-210.
    • (2005) Language Resources and Evaluation , vol.39 , Issue.2 , pp. 165-210
    • Wiebe, J.1    Wilson, T.2    Cardie, C.3
  • 23
    • 84908152207 scopus 로고    scopus 로고
    • Senticnet 3: A common and common-sense knowledge base for cognition-driven sentiment analysis
    • E. Cambria, D. Olsher, and D. Rajagopal, "SenticNet 3: A Common and Common-Sense Knowledge Base for Cognition-Driven Sentiment Analysis, " Proc. 28th AAAI Conf. Artificial Intelligence, 2014, pp. 1515-1521.
    • (2014) Proc. 28th AAAI Conf. Artificial Intelligence , pp. 1515-1521
    • Cambria, E.1    Olsher, D.2    Rajagopal, D.3
  • 24
    • 37349084229 scopus 로고    scopus 로고
    • Characterization of the affective norms for english words by discrete emotional categories
    • R. Stevenson, J. Mikels, and T. James, "Characterization of the Affective Norms for English Words by Discrete Emotional Categories, " Behavior Research Methods, vol. 39, 2007, pp. 1020-1024.
    • (2007) Behavior Research Methods , vol.39 , pp. 1020-1024
    • Stevenson, R.1    Mikels, J.2    James, T.3
  • 27
    • 84944871800 scopus 로고    scopus 로고
    • Sentiment data flow analysis by means of dynamic linguistic patterns
    • S. Poria et al., "Sentiment Data Flow Analysis by Means of Dynamic Linguistic Patterns, " IEEE Computational Intelligence, vol. 10, no. 4, 2015, pp. 26-36.
    • (2015) IEEE Computational Intelligence , vol.10 , Issue.4 , pp. 26-36
    • Poria, S.1
  • 30
    • 80053443013 scopus 로고    scopus 로고
    • Domain adaptation for large-scale sentiment classification: A deep learning approach
    • X. Glorot, A. Bordes, and Y. Bengio, "Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach, " Proc. 28th Intl Conf. Machine Learning, 2011, pp. 97-100.
    • (2011) Proc. 28th Intl Conf. Machine Learning , pp. 97-100
    • Glorot, X.1    Bordes, A.2    Bengio, Y.3
  • 31
    • 84926358845 scopus 로고    scopus 로고
    • Recursive deep models for semantic compositionality over a sentiment treebank
    • R. Socher et al., "Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank, " Proc. Empirical Methods on Natural Language Processing, 2013, pp. 1642-1654.
    • (2013) Proc. Empirical Methods on Natural Language Processing , pp. 1642-1654
    • Socher, R.1
  • 32
    • 84988269615 scopus 로고    scopus 로고
    • A probabilistic generative model for mining cybercriminal networks from online social media
    • R. Lau, Y. Xia, and Y. Ye, "A Probabilistic Generative Model for Mining Cybercriminal Networks from Online Social Media, " IEEE Computational Intelligence, vol. 9, no. 1, 2014, pp. 31-43.
    • (2014) IEEE Computational Intelligence , vol.9 , Issue.1 , pp. 31-43
    • Lau, R.1    Xia, Y.2    Ye, Y.3
  • 34
    • 84929702394 scopus 로고    scopus 로고
    • Word polarity disambiguation using Bayesian model and opinion-level features
    • Y. Xia et al., "Word Polarity Disambiguation Using Bayesian Model and Opinion-Level Features, " Cognitive Computation, vol. 7, no. 3, 2015, pp. 369-380.
    • (2015) Cognitive Computation , vol.7 , Issue.3 , pp. 369-380
    • Xia, Y.1
  • 36
    • 84990954747 scopus 로고    scopus 로고
    • Ifeel: A system that compares and combines sentiment analysis methods
    • M. Araújo et al., "iFeel: A System that Compares and Combines Sentiment Analysis Methods, " Proc. 23rd Intl Conf. World Wide Web, 2014, pp. 75-78.
    • (2014) Proc. 23rd Intl Conf. World Wide Web , pp. 75-78
    • Araújo, M.1
  • 37
    • 84902513871 scopus 로고    scopus 로고
    • An empirical study of sentence features for subjectivity and polarity classification
    • J.M. Chenlo and D.E. Losada, "An Empirical Study of Sentence Features for Subjectivity and Polarity Classification, " Information Sciences, vol. 280, 2014, pp. 275-288.
    • (2014) Information Sciences , vol.280 , pp. 275-288
    • Chenlo, J.M.1    Losada, D.E.2
  • 38
    • 84963719337 scopus 로고    scopus 로고
    • Improve polarity detection of online reviews with bag-of-sentimental-concepts
    • J.K.-C. Chung, C.-E. Wu, and R.T.-H. Tsai, "Improve Polarity Detection of Online Reviews with Bag-of-Sentimental-Concepts, " Proc. 11th European Semantic Web Conf., 2014; http://2014.eswc-conferences.org/sites/default/files/eswc2014-challenges-cl-submission-33.pdf.
    • (2014) Proc. 11th European Semantic Web Conf
    • Chung, J.K.-C.1    Wu, C.-E.2    Tsai, R.T.-H.3
  • 39
    • 84924582295 scopus 로고    scopus 로고
    • Meta-level sentiment models for big social data analysis
    • F. Bravo-Marquez, M. Mendoza, and B. Poblete, "Meta-Level Sentiment Models for Big Social Data Analysis, " Knowledge-Based Systems, vol. 69, 2014, pp. 86-99.
    • (2014) Knowledge-Based Systems , vol.69 , pp. 86-99
    • Bravo-Marquez, F.1    Mendoza, M.2    Poblete, B.3
  • 40
    • 84980509330 scopus 로고    scopus 로고
    • Su-sentilab: A classification system for sentiment analysis in twitter
    • G. Gezici et al., "SU-Sentilab: A Classification System for Sentiment Analysis in Twitter, " Proc. Intl Workshop Semantic Evaluation, 2013, pp. 471-477.
    • (2013) Proc. Intl Workshop Semantic Evaluation , pp. 471-477
    • Gezici, G.1
  • 41
    • 84943014678 scopus 로고    scopus 로고
    • Sentilo: Frame-based sentiment analysis
    • D.R. Recupero et al., "Sentilo: Frame-Based Sentiment Analysis, " Cognitive Computation, vol. 7, no. 2, 2014, pp. 211-225.
    • (2014) Cognitive Computation , vol.7 , Issue.2 , pp. 211-225
    • Recupero, D.R.1
  • 42
    • 84899050913 scopus 로고    scopus 로고
    • Jumping nlp curves: A review of natural language processing research
    • E. Cambria and B. White, "Jumping NLP Curves: A Review of Natural Language Processing Research, " IEEE Computational Intelligence, vol. 9, no. 2, 2014, pp. 48-57.
    • (2014) IEEE Computational Intelligence , vol.9 , Issue.2 , pp. 48-57
    • Cambria, E.1    White, B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.