메뉴 건너뛰기




Volumn 43, Issue 4, 2017, Pages 458-479

Feature-based opinion mining in financial news: An ontology-driven approach

Author keywords

financial news; ontology; opinion mining; sentiment analysis

Indexed keywords

COMPUTATIONAL LINGUISTICS; DATA MINING; FINANCE; ONTOLOGY;

EID: 85022091912     PISSN: 01655515     EISSN: 17416485     Source Type: Journal    
DOI: 10.1177/0165551516645528     Document Type: Article
Times cited : (59)

References (55)
  • 4
    • 84867689553 scopus 로고    scopus 로고
    • Document-level sentiment classification: An empirical comparison between SVM and ANN
    • Moraes R, Valiati JF, Gavião Neto WP., Document-level sentiment classification: An empirical comparison between SVM and ANN. Expert Systems with Applications 2013; 40 (2): 621-633.
    • (2013) Expert Systems with Applications , vol.40 , Issue.2 , pp. 621-633
    • Moraes, R.1    Valiati, J.F.2    Gavião Neto, W.P.3
  • 5
    • 84891693181 scopus 로고    scopus 로고
    • Opinion mining of movie review using hybrid method of support vector machine and particle swarm optimization
    • Basari ASH, Hussin B, Ananta IGP, Zeniarja J., Opinion mining of movie review using hybrid method of support vector machine and particle swarm optimization. Procedia Engineering 2013; 53: 453-462.
    • (2013) Procedia Engineering , vol.53 , pp. 453-462
    • Basari, A.S.H.1    Hussin, B.2    Ananta, I.G.P.3    Zeniarja, J.4
  • 7
    • 79251598720 scopus 로고    scopus 로고
    • Ensemble of feature sets and classification algorithms for sentiment classification
    • Xia R, Zong C, Li S., Ensemble of feature sets and classification algorithms for sentiment classification. Information Sciences 2011; 181 (6): 1138-1152.
    • (2011) Information Sciences , vol.181 , Issue.6 , pp. 1138-1152
    • Xia, R.1    Zong, C.2    Li, S.3
  • 9
    • 79957596567 scopus 로고    scopus 로고
    • Self-training from labeled features for sentiment analysis
    • He Y, Zhou D., Self-training from labeled features for sentiment analysis. Information Processing & Management 2011; 47 (4): 606-616.
    • (2011) Information Processing & Management , vol.47 , Issue.4 , pp. 606-616
    • He, Y.1    Zhou, D.2
  • 10
    • 85021895990 scopus 로고    scopus 로고
    • Using Opinion Mining Techniques in Tourism
    • Bucur C., Using Opinion Mining Techniques in Tourism. Procedia Economics and Finance 2015; 23: 1666-1673.
    • (2015) Procedia Economics and Finance , vol.23 , pp. 1666-1673
    • Bucur, C.1
  • 11
    • 84942364611 scopus 로고    scopus 로고
    • Sentiment analysis on social media for stock movement prediction
    • Nguyen TH, Shirai K, Velcin J., Sentiment analysis on social media for stock movement prediction. Expert Systems with Applications 2015; 42 (24): 9603-9611.
    • (2015) Expert Systems with Applications , vol.42 , Issue.24 , pp. 9603-9611
    • Nguyen, T.H.1    Shirai, K.2    Velcin, J.3
  • 12
    • 84936995312 scopus 로고    scopus 로고
    • Using data-driven feature enrichment of text representation and ensemble technique for sentence-level polarity classification
    • Zhang P, He Z., Using data-driven feature enrichment of text representation and ensemble technique for sentence-level polarity classification. Journal of Information Science 2015; 41 (4): 531-549.
    • (2015) Journal of Information Science , vol.41 , Issue.4 , pp. 531-549
    • Zhang, P.1    He, Z.2
  • 13
    • 80053410813 scopus 로고    scopus 로고
    • Chinese Sentence-level Sentiment Classification Based on Fuzzy Sets
    • Stroudsburg, PA, USA: Association for Computational Linguistics
    • Fu G, Wang X,. Chinese Sentence-level Sentiment Classification Based on Fuzzy Sets. In: Proceedings of the 23rd International Conference on Computational Linguistics: Posters [Internet]. Stroudsburg, PA, USA: Association for Computational Linguistics; 2010, pp. 312-319. Available at: http://dl.acm.org/citation.cfm?id=1944566.1944602.
    • (2010) Proceedings of the 23rd International Conference on Computational Linguistics: Posters [Internet] , pp. 312-319
    • Fu, G.1    Wang, X.2
  • 16
    • 84858308514 scopus 로고    scopus 로고
    • Feature Specific Sentiment Analysis for Product Reviews
    • editor. [Internet]. Springer Berlin Heidelberg
    • Mukherjee S, Bhattacharyya P., Feature Specific Sentiment Analysis for Product Reviews. In: Gelbukh A, editor. Computational Linguistics and Intelligent Text Processing [Internet]. Springer Berlin Heidelberg; 2012, pp. 475-487. Available at: http://link.springer.com/chapter/10.1007/978-3-642-28604-9-39.
    • (2012) Computational Linguistics and Intelligent Text Processing , pp. 475-487
    • Mukherjee, S.1    Bhattacharyya, P.2    Gelbukh, A.3
  • 23
    • 84890331663 scopus 로고    scopus 로고
    • Ontological realism, concepts and classification in molecular biology: Development and application of the gene ontology
    • Mayor C, Robinson L., Ontological realism, concepts and classification in molecular biology: Development and application of the gene ontology. Journal of Documentation 2014; 70 (1): 173-93.
    • (2014) Journal of Documentation , vol.70 , Issue.1 , pp. 173-193
    • Mayor, C.1    Robinson, L.2
  • 26
    • 84931437887 scopus 로고    scopus 로고
    • Unsupervised Linguistic Approach for Sentiment Classification from Online Reviews Using SentiWordNet 3.0
    • Ghosh M, Animesh K,. Unsupervised Linguistic Approach for Sentiment Classification from Online Reviews Using SentiWordNet 3.0. International Journal of Engineering Research and Technology 2013; 2 (9): 55-60.
    • (2013) International Journal of Engineering Research and Technology , vol.2 , Issue.9 , pp. 55-60
    • Ghosh, M.1    Animesh, K.2
  • 33
    • 84902174351 scopus 로고    scopus 로고
    • Aara'- A system for mining the polarity of Saudi public opinion through e-newspaper comments
    • Azmi AM, Alzanin SM., Aara'- a system for mining the polarity of Saudi public opinion through e-newspaper comments. Journal of Information Science 2014; 40 (3): 398-410.
    • (2014) Journal of Information Science , vol.40 , Issue.3 , pp. 398-410
    • Azmi, A.M.1    Alzanin, S.M.2
  • 35
    • 85011610015 scopus 로고    scopus 로고
    • A feature selection model based on genetic rank aggregation for text sentiment classification
    • Onan A, Korukoglu S., A feature selection model based on genetic rank aggregation for text sentiment classification. Journal of Information Science 2015. DOI: 10.1177/0165551515613226.
    • (2015) Journal of Information Science
    • Onan, A.1    Korukoglu, S.2
  • 37
    • 79952444682 scopus 로고    scopus 로고
    • A neural network based approach for sentiment classification in the blogosphere
    • Chen L-S, Liu C-H, Chiu H-J., A neural network based approach for sentiment classification in the blogosphere. Journal of Informetrics 2011; 5 (2): 313-322.
    • (2011) Journal of Informetrics , vol.5 , Issue.2 , pp. 313-322
    • Chen, L.-S.1    Liu, C.-H.2    Chiu, H.-J.3
  • 38
    • 79953685159 scopus 로고    scopus 로고
    • Exploiting effective features for Chinese sentiment classification
    • Zhai Z, Xu H, Kang B, Jia P., Exploiting effective features for chinese sentiment classification. Expert Systems with Applications 2011; 38 (8): 9139-9146.
    • (2011) Expert Systems with Applications , vol.38 , Issue.8 , pp. 9139-9146
    • Zhai, Z.1    Xu, H.2    Kang, B.3    Jia, P.4
  • 39
    • 80955181166 scopus 로고    scopus 로고
    • A two-stage framework for cross-domain sentiment classification
    • Wu Q, Tan S., A two-stage framework for cross-domain sentiment classification. Expert Systems with Applications 2011; 38 (11): 14269-14275.
    • (2011) Expert Systems with Applications , vol.38 , Issue.11 , pp. 14269-14275
    • Wu, Q.1    Tan, S.2
  • 41
    • 84924787298 scopus 로고    scopus 로고
    • Fine-grained analysis of explicit and implicit sentiment in financial news articles
    • Van de, Kauter M, Breesch D, Hoste V., Fine-grained analysis of explicit and implicit sentiment in financial news articles. Expert Systems with Applications 2015; 42 (11): 4999-5010.
    • (2015) Expert Systems with Applications , vol.42 , Issue.11 , pp. 4999-5010
    • Van, D.1    Kauter, M.2    Breesch, D.3    Hoste, V.4
  • 48
    • 0002795367 scopus 로고    scopus 로고
    • An organizational ontology for enterprise modelling
    • editors. Cambridge, MA: MIT Press, Available at
    • Fox MS, Barbuceanu M, Gruninger M, Lin J., An organizational ontology for enterprise modelling. In: Prietula MJ, Carley KM, Gasser L, editors. Simulating Organizations. Cambridge, MA: MIT Press, 1998, pp. 131-152. Available at: http://dl.acm.org/citation.cfm?id=279890.279923.
    • (1998) Simulating Organizations , pp. 131-152
    • Fox, M.S.1    Barbuceanu, M.2    Gruninger, M.3    Lin, J.4    Prietula, M.J.5    Carley, K.M.6    Gasser, L.7
  • 51
    • 84864758525 scopus 로고    scopus 로고
    • Evaluation: From Precision, Recall and F-Factor to ROC, Informedness, Markedness and Correlation
    • Powers DMW,. Evaluation: From Precision, Recall and F-Factor to ROC, Informedness, Markedness and Correlation. Journal of Machine Learning Technologies 2008; 2 (1): 37-63.
    • (2008) Journal of Machine Learning Technologies , vol.2 , Issue.1 , pp. 37-63
    • Powers, D.M.W.1
  • 54
    • 84883642320 scopus 로고    scopus 로고
    • Semi-automatic construction of a domain ontology for wind energy using Wikipedia articles
    • Küçük D, Arslan Y., Semi-automatic construction of a domain ontology for wind energy using Wikipedia articles. Renewable Energy 2014; 62: 484-489.
    • (2014) Renewable Energy , vol.62 , pp. 484-489
    • Küçük, D.1    Arslan, Y.2
  • 55
    • 85017351875 scopus 로고    scopus 로고
    • Machine Learning Approach for Sentiment Analysis
    • Berlin: Springer International Publishing, Available at
    • Agarwal B, Mittal N,. Machine Learning Approach for Sentiment Analysis. In: Prominent Feature Extraction for Sentiment Analysis. Berlin: Springer International Publishing, 2016, pp. 21-45. Available at: http://link.springer.com/chapter/10.1007/978-3-319-25343-5-3.
    • (2016) Prominent Feature Extraction for Sentiment Analysis , pp. 21-45
    • Agarwal, B.1    Mittal, N.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.