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Volumn 10, Issue 4, 2015, Pages 26-36

Sentiment Data Flow Analysis by Means of Dynamic Linguistic Patterns

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTATIONAL LINGUISTICS; DATA FLOW ANALYSIS; DATA TRANSFER; LINGUISTICS; MARKETING; NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 84944871800     PISSN: 1556603X     EISSN: None     Source Type: Journal    
DOI: 10.1109/MCI.2015.2471215     Document Type: Article
Times cited : (119)

References (40)
  • 1
    • 77952049760 scopus 로고    scopus 로고
    • Common sense computing: From the society of mind to digital intuition and beyond
    • (Series Lecture Notes in Computer Science,), J. Fierrez, J. Ortega, A. Esposito, A. Drygajlo, and M. Faundez-Zanuy, Eds. Berlin, Germany: Springer
    • E. Cambria, A. Hussain, C. Havasi, and C. Eckl, "Common sense computing: From the society of mind to digital intuition and beyond," in Biometric ID Management and Multimodal Communication (Series Lecture Notes in Computer Science, vol. 5707), J. Fierrez, J. Ortega, A. Esposito, A. Drygajlo, and M. Faundez-Zanuy, Eds. Berlin, Germany: Springer, 2009, pp. 252-259.
    • (2009) Biometric ID Management and Multimodal Communication , vol.5707 , pp. 252-259
    • Cambria, E.1    Hussain, A.2    Havasi, C.3    Eckl, C.4
  • 2
    • 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 Comput. Intell. Mag., vol. 9, no. 2, pp. 48-57, 2014.
    • (2014) IEEE Comput. Intell. Mag. , vol.9 , Issue.2 , pp. 48-57
    • Cambria, E.1    White, B.2
  • 3
    • 84924582748 scopus 로고    scopus 로고
    • Sentic patterns: Dependencybased rules for concept-level sentiment analysis
    • Oct.
    • S. Poria, E. Cambria, G. Winterstein, and G.-B. Huang, "Sentic patterns: Dependencybased rules for concept-level sentiment analysis," Knowl.-Based Syst., vol. 69, pp. 45-63, Oct. 2014.
    • (2014) Knowl.-Based Syst. , vol.69 , pp. 45-63
    • Poria, S.1    Cambria, E.2    Winterstein, G.3    Huang, G.-B.4
  • 4
    • 84880172556 scopus 로고    scopus 로고
    • Knowledge-based approaches to concept-level sentiment analysis
    • E. Cambria, B. Schuller, B. Liu, H. Wang, and C. Havasi, "Knowledge-based approaches to concept-level sentiment analysis," IEEE Intell. Syst., vol. 28, no. 2, pp. 12-14, 2013.
    • (2013) IEEE Intell. Syst. , vol.28 , Issue.2 , pp. 12-14
    • Cambria, E.1    Schuller, B.2    Liu, B.3    Wang, H.4    Havasi, C.5
  • 5
    • 84884180388 scopus 로고    scopus 로고
    • Statistical approaches to concept-level sentiment analysis
    • E. Cambria, B. Schuller, B. Liu, H. Wang, and C. Havasi, "Statistical approaches to concept-level sentiment analysis," IEEE Intell. Syst., vol. 28, no. 3, pp. 6-9, 2013.
    • (2013) IEEE Intell. Syst. , vol.28 , Issue.3 , pp. 6-9
    • Cambria, E.1    Schuller, B.2    Liu, B.3    Wang, H.4    Havasi, C.5
  • 8
    • 85136072040 scopus 로고    scopus 로고
    • Thumbs up or thumbs down?: Semantic orientation applied to unsupervised classification of reviews
    • P. D. Turney, "Thumbs up or thumbs down?: Semantic orientation applied to unsupervised classification of reviews," in Proc. 40th Annu. Meeting Association Computational Linguistics, 2002, pp. 417-424.
    • (2002) Proc. 40th Annu. Meeting Association Computational Linguistics , pp. 417-424
    • Turney, P.D.1
  • 12
    • 84897584660 scopus 로고    scopus 로고
    • Cross-domain sentiment classification using a sentiment sensitive thesaurus
    • D. Bollegala, D. Weir, and J. Carroll, "Cross-domain sentiment classification using a sentiment sensitive thesaurus," IEEE Trans. Knowl. Data Eng., vol. 25, no. 8, pp. 1719-1731, 2013.
    • (2013) IEEE Trans. Knowl. Data Eng. , vol.25 , Issue.8 , pp. 1719-1731
    • Bollegala, D.1    Weir, D.2    Carroll, J.3
  • 15
    • 85034054192 scopus 로고    scopus 로고
    • SentiWordNet 3.0: An enhanced lexical resource for sentiment analysis and opinion mining
    • S. Baccianella, A. Esuli, and F. Sebastiani, "SentiWordNet 3.0: An enhanced lexical resource for sentiment analysis and opinion mining," in Proc. Language Resources Evaluation Conf., 2010, vol. 10, pp. 2200-2204.
    • (2010) Proc. Language Resources Evaluation Conf. , vol.10 , pp. 2200-2204
    • Baccianella, S.1    Esuli, A.2    Sebastiani, F.3
  • 16
    • 84976702763 scopus 로고
    • WordNet: A lexical database for English
    • G. A. Miller, "WordNet: A lexical database for English," Commun. ACM, vol. 38, no. 11, pp. 39-41, 1995.
    • (1995) Commun. ACM , vol.38 , Issue.11 , pp. 39-41
    • Miller, G.A.1
  • 19
    • 84956785966 scopus 로고    scopus 로고
    • On the difficulty of automatically detecting irony: Beyond a simple case of negation
    • A. Reyes and P. Rosso, "On the difficulty of automatically detecting irony: Beyond a simple case of negation," Knowl. Inf. Syst., vol. 40, no. 3, pp. 595-614, 2014.
    • (2014) Knowl. Inf. Syst. , vol.40 , Issue.3 , pp. 595-614
    • Reyes, A.1    Rosso, P.2
  • 21
    • 85038601237 scopus 로고    scopus 로고
    • Sentiment analysis and opinion mining
    • B. Liu, "Sentiment analysis and opinion mining," Synthesis Lect. Human Lang. Technol., vol. 5, no. 1, pp. 1-167, 2012.
    • (2012) Synthesis Lect. Human Lang. Technol. , vol.5 , Issue.1 , pp. 1-167
    • Liu, B.1
  • 25
    • 59549087165 scopus 로고    scopus 로고
    • On discriminative vs. Generative classifiers: A comparison of logistic regression and naive Bayes
    • A. Jordan, "On discriminative vs. generative classifiers: A comparison of logistic regression and naive Bayes," Adv. Neural Inform. Process. Syst., vol. 14, pp. 841-846, 2002.
    • (2002) Adv. Neural Inform. Process. Syst. , vol.14 , pp. 841-846
    • Jordan, A.1
  • 26
    • 33746369754 scopus 로고    scopus 로고
    • Sentence similarity based on semantic nets and corpus statistics
    • Y. Li, D. McLean, Z. A. Bandar, J. D. O'Shea, and K. Crockett, "Sentence similarity based on semantic nets and corpus statistics," IEEE Trans. Knowl. Data Eng., vol. 18, no. 8, pp. 1138-1150, 2006.
    • (2006) IEEE Trans. Knowl. Data Eng. , vol.18 , Issue.8 , pp. 1138-1150
    • Li, Y.1    McLean, D.2    Bandar, Z.A.3    O'Shea, J.D.4    Crockett, K.5
  • 27
    • 57349117605 scopus 로고    scopus 로고
    • Learning to classify short and sparse text & web with hidden topics from large-scale data collections
    • X.-H. Phan, L.-M. Nguyen, and S. Horiguchi, "Learning to classify short and sparse text & web with hidden topics from large-scale data collections," in Proc. 17th Int. Conf. World Wide Web, 2008, pp. 91-100.
    • (2008) Proc. 17th Int. Conf. World Wide Web , pp. 91-100
    • Phan, X.-H.1    Nguyen, L.-M.2    Horiguchi, S.3
  • 30
    • 38049166106 scopus 로고    scopus 로고
    • Semantic text classification of emergent disease reports
    • Berlin, Germany: Springer
    • Y. Zhang and B. Liu, "Semantic text classification of emergent disease reports," in Principles and Practice of Knowledge Discovery in Databases, Berlin, Germany: Springer, 2007, pp. 629-637.
    • (2007) Principles and Practice of Knowledge Discovery in Databases , pp. 629-637
    • Zhang, Y.1    Liu, B.2
  • 31
    • 84924529449 scopus 로고    scopus 로고
    • Using relation selection to improve value propagation in a ConceptNet-based sentiment dictionary
    • C.-E. Wu and R. T.-H. Tsai, "Using relation selection to improve value propagation in a ConceptNet-based sentiment dictionary," Knowl.-Based Syst., vol. 69, pp. 100-107, 2014.
    • (2014) Knowl.-Based Syst. , vol.69 , pp. 100-107
    • Wu, C.-E.1    Tsai, R.T.-H.2
  • 32
    • 84908152207 scopus 로고    scopus 로고
    • SenticNet 3: A common and commonsense knowledge base for cognition-driven sentiment analysis
    • E. Cambria, D. Olsher, and D. Rajagopal, "SenticNet 3: A common and commonsense knowledge base for cognition-driven sentiment analysis," in 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
  • 33
  • 34
    • 33646894388 scopus 로고    scopus 로고
    • Contextual valence shifters
    • (The Information Retrieval Series,), Berlin, Germany: Springer
    • L. Polanyi and A. Zaenen, "Contextual valence shifters," in Computing Attitude and Affect in Text: Theory and Applications (The Information Retrieval Series, vol. 20), Berlin, Germany: Springer, 2006, pp. 1-10.
    • (2006) Computing Attitude and Affect in Text: Theory and Applications , vol.20 , pp. 1-10
    • Polanyi, L.1    Zaenen, A.2
  • 35
    • 84859895244 scopus 로고    scopus 로고
    • Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales
    • B. Pang and L. Lee, "Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales," in Proc. 43rd Annu. Meeting Association Computational Linguistics, 2005, pp. 115-124.
    • (2005) Proc. 43rd Annu. Meeting Association Computational Linguistics , pp. 115-124
    • Pang, B.1    Lee, L.2
  • 39
    • 84992740503 scopus 로고    scopus 로고
    • Irony and sarcasm: Corpus generation and analysis using crowdsourcing
    • E. Filatova, "Irony and sarcasm: Corpus generation and analysis using crowdsourcing," in Proc. Language Resources Evaluation Conf., 2012, pp. 392-398.
    • (2012) Proc. Language Resources Evaluation Conf. , pp. 392-398
    • Filatova, E.1
  • 40
    • 84942524192 scopus 로고    scopus 로고
    • The CLSA model: A novel framework for concept-level sentiment analysis
    • (Series Lecture Notes in Computer Science) Berlin, Germany: Springer
    • E. Cambria, S. Poria, F. Bisio, R. Bajpai, and I. Chaturvedi, "The CLSA model: A novel framework for concept-level sentiment analysis," in Computational Linguistics and Intelligent Text Processing (Series Lecture Notes in Computer Science, vol. 9042), Berlin, Germany: Springer, 2015, pp. 3-22.
    • (2015) Computational Linguistics and Intelligent Text Processing , vol.9042 , pp. 3-22
    • Cambria, E.1    Poria, S.2    Bisio, F.3    Bajpai, R.4    Chaturvedi, I.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.