메뉴 건너뛰기




Volumn 77, Issue , 2017, Pages 236-246

Enhancing deep learning sentiment analysis with ensemble techniques in social applications

Author keywords

Deep learning; Ensemble; Machine learning; Natural language processing; Sentiment analysis

Indexed keywords

ARTIFICIAL INTELLIGENCE; DATA MINING; EXTRACTION; FEATURE EXTRACTION; LEARNING ALGORITHMS; LEARNING SYSTEMS; NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 85012146253     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2017.02.002     Document Type: Article
Times cited : (494)

References (72)
  • 2
    • 25644459607 scopus 로고    scopus 로고
    • Introduction to machine learning
    • MIT press
    • Alpaydin, E., Introduction to machine learning. 2014, MIT press.
    • (2014)
    • Alpaydin, E.1
  • 5
    • 84963783209 scopus 로고    scopus 로고
    • Affective computing and sentiment analysis
    • Cambria, E., Affective computing and sentiment analysis. IEEE Intelligent Systems 31 (2016), 102–107.
    • (2016) IEEE Intelligent Systems , vol.31 , pp. 102-107
    • Cambria, E.1
  • 6
    • 84919825814 scopus 로고    scopus 로고
    • Marginalized denoising auto-encoders for nonlinear representations
    • Chen, M., Weinberger, K.Q., Sha, F., Bengio, Y., Marginalized denoising auto-encoders for nonlinear representations. ICML, 2014, 1476–1484.
    • (2014) ICML , pp. 1476-1484
    • Chen, M.1    Weinberger, K.Q.2    Sha, F.3    Bengio, Y.4
  • 9
    • 29644438050 scopus 로고    scopus 로고
    • Statistical comparisons of classifiers over multiple data sets
    • Demšar, J., Statistical comparisons of classifiers over multiple data sets. The Journal of Machine Learning Research 7 (2006), 1–30.
    • (2006) The Journal of Machine Learning Research , vol.7 , pp. 1-30
    • Demšar, J.1
  • 11
    • 85031789656 scopus 로고    scopus 로고
    • Sentiwordnet: A publicly available lexical resource for opinion mining
    • Citeseer
    • Esuli, A., Sebastiani, F., Sentiwordnet: A publicly available lexical resource for opinion mining. Proceedings of LREC, 6, 2006, Citeseer, 417–422.
    • (2006) Proceedings of LREC , vol.6 , pp. 417-422
    • Esuli, A.1    Sebastiani, F.2
  • 12
    • 84910658944 scopus 로고    scopus 로고
    • Sentiment analysis: Bayesian ensemble learning
    • Fersini, E., Messina, E., Pozzi, F., Sentiment analysis: Bayesian ensemble learning. Decision Support Systems 68 (2014), 26–38, 10.1016/j.dss.2014.10.004 http://www.sciencedirect.com/science/article/pii/S0167923614002498.
    • (2014) Decision Support Systems , vol.68 , pp. 26-38
    • Fersini, E.1    Messina, E.2    Pozzi, F.3
  • 13
    • 84930791857 scopus 로고    scopus 로고
    • Expressive signals in social media languages to improve polarity detection
    • Fersini, E., Messina, E., Pozzi, F., Expressive signals in social media languages to improve polarity detection. Information Processing & Management 52 (2016), 20–35.
    • (2016) Information Processing & Management , vol.52 , pp. 20-35
    • Fersini, E.1    Messina, E.2    Pozzi, F.3
  • 15
    • 78650122641 scopus 로고    scopus 로고
    • Twitter sentiment classification using distant supervision
    • Go, A., Bhayani, R., Huang, L., Twitter sentiment classification using distant supervision. CS224N Project Report, Stanford, 1, 2009, 12.
    • (2009) CS224N Project Report, Stanford , vol.1 , pp. 12
    • Go, A.1    Bhayani, R.2    Huang, L.3
  • 16
    • 85012112372 scopus 로고    scopus 로고
    • Vader sentiment github repository
    • Accessed on May 30, 2016.
    • Hutto, C., Vader sentiment github repository. 2015 https://github.com/cjhutto/vaderSentiment. Accessed on May 30, 2016.
    • (2015)
    • Hutto, C.1
  • 17
    • 85012196301 scopus 로고    scopus 로고
    • Sentiment wsd github repository
    • Accessed on May 30, 2016.
    • Kathuria, P., Sentiment wsd github repository. 2015 https://github.com/kevincobain2000/sentiment_classifier/. Accessed on May 30, 2016.
    • (2015)
    • Kathuria, P.1
  • 19
    • 84943756210 scopus 로고    scopus 로고
    • Convolutional neural networks for sentence classification
    • arXiv preprint.
    • Kim, Y., Convolutional neural networks for sentence classification. 2014 arXiv preprint arXiv:1408.5882.
    • (2014)
    • Kim, Y.1
  • 21
    • 85128719106 scopus 로고    scopus 로고
    • Twitter sentiment analysis: The good the bad and the omg!
    • Kouloumpis, E., Wilson, T., Moore, J.D., Twitter sentiment analysis: The good the bad and the omg!. Icwsm 11 (2011), 538–541.
    • (2011) Icwsm , vol.11 , pp. 538-541
    • Kouloumpis, E.1    Wilson, T.2    Moore, J.D.3
  • 22
    • 84926067654 scopus 로고    scopus 로고
    • Distributed representations of sentences and documents.
    • Le, Q.V., Mikolov, T., Distributed representations of sentences and documents. ICML, vol. 14, 2014, 1188–1196.
    • (2014) ICML , vol.vol. 14 , pp. 1188-1196
    • Le, Q.V.1    Mikolov, T.2
  • 23
    • 84945555645 scopus 로고    scopus 로고
    • Parallel recursive deep model for sentiment analysis
    • T. Cao E.-P. Lim Z.-H. Zhou T.-B. Ho D. Cheung H. Motoda Springer International Publishing
    • Li, C., Xu, B., Wu, G., He, S., Tian, G., Zhou, Y., Parallel recursive deep model for sentiment analysis. Cao, T., Lim, E.-P., Zhou, Z.-H., Ho, T.-B., Cheung, D., Motoda, H., (eds.) Advances in knowledge discovery and data mining Lecture Notes in Computer Science, Vol. 9078, 2015, Springer International Publishing, 15–26, 10.1007/978-3-319-18032-8_2 http://dx.doi.org/10.1007/978-3-319-18032-8_2.
    • (2015) Advances in knowledge discovery and data mining, Lecture Notes in Computer Science , vol.9078 , pp. 15-26
    • Li, C.1    Xu, B.2    Wu, G.3    He, S.4    Tian, G.5    Zhou, Y.6
  • 24
    • 84947295912 scopus 로고    scopus 로고
    • Integrating the optimal classifier set for sentiment analysis
    • Lin, Y., Wang, X., Li, Y., Zhou, A., Integrating the optimal classifier set for sentiment analysis. Social Network Analysis and Mining 5 (2015), 1–13.
    • (2015) Social Network Analysis and Mining , vol.5 , pp. 1-13
    • Lin, Y.1    Wang, X.2    Li, Y.3    Zhou, A.4
  • 25
    • 84953400767 scopus 로고    scopus 로고
    • Sentiment analysis: Mining opinions, sentiments, and emotions
    • Cambridge University Press
    • Liu, B., Sentiment analysis: Mining opinions, sentiments, and emotions. 2015, Cambridge University Press.
    • (2015)
    • Liu, B.1
  • 26
    • 85012115993 scopus 로고    scopus 로고
    • Textblob documentation page
    • Accessed on May 30, 2016.
    • Loria, S., Textblob documentation page. 2016 https://textblob.readthedocs.org/en/dev/index.html. Accessed on May 30, 2016.
    • (2016)
    • Loria, S.1
  • 28
    • 0031347022 scopus 로고    scopus 로고
    • An empirical evaluation of bagging and boosting
    • Maclin, R., Opitz, D., An empirical evaluation of bagging and boosting. AAAI/IAAI 1997 (1997), 546–551.
    • (1997) AAAI/IAAI , vol.1997 , pp. 546-551
    • Maclin, R.1    Opitz, D.2
  • 32
    • 85011314303 scopus 로고    scopus 로고
    • Ensemble of generative and discriminative techniques for sentiment analysis of movie reviews
    • Mesnil, G., Mikolov, T., Ranzato, M., Bengio, Y., Ensemble of generative and discriminative techniques for sentiment analysis of movie reviews. arXiv preprint arXiv:1412.5335, 2014.
    • (2014) arXiv preprint arXiv:1412.5335
    • Mesnil, G.1    Mikolov, T.2    Ranzato, M.3    Bengio, Y.4
  • 34
    • 84926179397 scopus 로고    scopus 로고
    • Linguistic regularities in continuous space word representations.
    • Mikolov, T., Yih, W.-t., Zweig, G., Linguistic regularities in continuous space word representations. HLT-NAACL, 2013, 746–751.
    • (2013) HLT-NAACL , pp. 746-751
    • Mikolov, T.1    Yih, W.-T.2    Zweig, G.3
  • 35
    • 84910111413 scopus 로고    scopus 로고
    • Nrc-canada: Building the state-of-the-art in sentiment analysis of tweets
    • Mohammad, S.M., Kiritchenko, S., Zhu, X., Nrc-canada: Building the state-of-the-art in sentiment analysis of tweets. CoRR, abs/1308.6242, 2013 http://arxiv.org/abs/1308.6242.
    • (2013) CoRR , vol.abs/1308.6242
    • Mohammad, S.M.1    Kiritchenko, S.2    Zhu, X.3
  • 36
    • 85012169786 scopus 로고    scopus 로고
    • Fast and accurate sentiment classification using an enhanced naive bayes model
    • Narayanan, V., Arora, I., Bhatia, A., Fast and accurate sentiment classification using an enhanced naive bayes model. CoRR, abs/1305.6143, 2013 http://arxiv.org/abs/1305.6143.
    • (2013) CoRR , vol.abs/1305.6143
    • Narayanan, V.1    Arora, I.2    Bhatia, A.3
  • 38
    • 85012169779 scopus 로고    scopus 로고
    • A comparison of domain-based word polarity estimation using different word embeddings
    • N.C.C. Chair) K. Choukri T. Declerck S. Goggi M. Grobelnik B. Maegaard J. Mariani H. Mazo A. Moreno J. Odijk S. Piperidis European Language Resources Association (ELRA) Paris, France
    • Pablos, A.G., Cuadros, M., Rigau, G., A comparison of domain-based word polarity estimation using different word embeddings. Chair), N.C.C., Choukri, K., Declerck, T., Goggi, S., Grobelnik, M., Maegaard, B., Mariani, J., Mazo, H., Moreno, A., Odijk, J., Piperidis, S., (eds.) Proceedings of the tenth international conference on language resources and evaluation (LREC 2016), 2016, European Language Resources Association (ELRA), Paris, France.
    • (2016) Proceedings of the tenth international conference on language resources and evaluation (LREC 2016)
    • Pablos, A.G.1    Cuadros, M.2    Rigau, G.3
  • 39
    • 85028156346 scopus 로고    scopus 로고
    • Twitter as a corpus for sentiment analysis and opinion mining.
    • Pak, A., Paroubek, P., Twitter as a corpus for sentiment analysis and opinion mining. LREc, vol. 10, 2010, 1320–1326.
    • (2010) LREc , vol.vol. 10 , pp. 1320-1326
    • Pak, A.1    Paroubek, P.2
  • 41
    • 84961289992 scopus 로고    scopus 로고
    • Glove: Global vectors for word representation.
    • Pennington, J., Socher, R., Manning, C.D., Glove: Global vectors for word representation. EMNLP, vol. 14, 2014, 1532–1543.
    • (2014) EMNLP , vol.vol. 14 , pp. 1532-1543
    • Pennington, J.1    Socher, R.2    Manning, C.D.3
  • 42
    • 84899690501 scopus 로고    scopus 로고
    • Learning sentiment lexicons in spanish.
    • Perez-Rosas, V., Banea, C., Mihalcea, R., Learning sentiment lexicons in spanish. LREC, vol. 12, 2012, 73.
    • (2012) LREC , vol.vol. 12 , pp. 73
    • Perez-Rosas, V.1    Banea, C.2    Mihalcea, R.3
  • 43
    • 50249161613 scopus 로고    scopus 로고
    • Computing attitude and affect in text: Theory and applications
    • Springer Netherlands Dordrecht
    • Polanyi, L., Zaenen, A., Computing attitude and affect in text: Theory and applications. chapter Contextual Valence Shifters, 2006, Springer Netherlands, Dordrecht, 1–10) http://dx.doi.org/10.1007/1-4020-4102-0_1.
    • (2006) chapter Contextual Valence Shifters , pp. 1-10)
    • Polanyi, L.1    Zaenen, A.2
  • 45
    • 78751699461 scopus 로고    scopus 로고
    • Expanding domain sentiment lexicon through double propagation.
    • Qiu, G., Liu, B., Bu, J., Chen, C., Expanding domain sentiment lexicon through double propagation. IJCAI, vol. 9, 2009, 1199–1204.
    • (2009) IJCAI , vol.vol. 9 , pp. 1199-1204
    • Qiu, G.1    Liu, B.2    Bu, J.3    Chen, C.4
  • 46
    • 84859916751 scopus 로고    scopus 로고
    • Using emoticons to reduce dependency in machine learning techniques for sentiment classification
    • Association for Computational Linguistics
    • Read, J., Using emoticons to reduce dependency in machine learning techniques for sentiment classification. Proceedings of the ACL student research workshop, 2005, Association for Computational Linguistics, 43–48.
    • (2005) Proceedings of the ACL student research workshop , pp. 43-48
    • Read, J.1
  • 48
    • 33745906582 scopus 로고    scopus 로고
    • Ensemble methods for classifiers
    • O. Maimon L. Rokach Springer US
    • Rokach, L., Ensemble methods for classifiers. Maimon, O., Rokach, L., (eds.) Data mining and knowledge discovery handbook, 2005, Springer US, 957–980 http://dx.doi.org/10.1007/0-387-25465-X_45.
    • (2005) Data mining and knowledge discovery handbook , pp. 957-980
    • Rokach, L.1
  • 49
    • 85012169791 scopus 로고    scopus 로고
    • Semeval 2014 task 9 description
    • Accessed on May 30, 2016.
    • Rosenthal, S., Semeval 2014 task 9 description. 2014 http://alt.qcri.org/semeval2014/task9/. Accessed on May 30, 2016.
    • (2014)
    • Rosenthal, S.1
  • 50
    • 85013224604 scopus 로고    scopus 로고
    • Evaluation datasets for twitter sentiment analysis: a survey and a new dataset, the sts-gold
    • Saif, H., Fernandez, M., He, Y., Alani, H., Evaluation datasets for twitter sentiment analysis: a survey and a new dataset, the sts-gold. 2013.
    • (2013)
    • Saif, H.1    Fernandez, M.2    He, Y.3    Alani, H.4
  • 54
    • 85021742298 scopus 로고    scopus 로고
    • Applications of deep learning to sentiment analysis of movie reviews
    • Shirani-Mehr, H., Applications of deep learning to sentiment analysis of movie reviews. 2012.
    • (2012)
    • Shirani-Mehr, H.1
  • 60
    • 84906924350 scopus 로고    scopus 로고
    • Learning sentiment-specific word embedding for twitter sentiment classification.
    • Tang, D., Wei, F., Yang, N., Zhou, M., Liu, T., Qin, B., Learning sentiment-specific word embedding for twitter sentiment classification. ACL (1), 2014, 1555–1565.
    • (2014) ACL (1) , pp. 1555-1565
    • Tang, D.1    Wei, F.2    Yang, N.3    Zhou, M.4    Liu, T.5    Qin, B.6
  • 61
    • 85136072040 scopus 로고    scopus 로고
    • Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews
    • Association for Computational Linguistics
    • Turney, P.D., Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews. Proceedings of the 40th annual meeting on association for computational linguistics, 2002, Association for Computational Linguistics, 417–424.
    • (2002) Proceedings of the 40th annual meeting on association for computational linguistics , pp. 417-424
    • Turney, P.D.1
  • 63
    • 84892373136 scopus 로고    scopus 로고
    • Sentiment classification: The contribution of ensemble learning
    • Wang, G., Sun, J., Ma, J., Xu, K., Gu, J., Sentiment classification: The contribution of ensemble learning. Decision support systems 57 (2014), 77–93.
    • (2014) Decision support systems , vol.57 , pp. 77-93
    • Wang, G.1    Sun, J.2    Ma, J.3    Xu, K.4    Gu, J.5
  • 66
    • 70349529656 scopus 로고    scopus 로고
    • Recognizing contextual polarity: An exploration of features for phrase-level sentiment analysis
    • Wilson, T., Wiebe, J., Hoffmann, P., Recognizing contextual polarity: An exploration of features for phrase-level sentiment analysis. Computational linguistics 35 (2009), 399–433.
    • (2009) Computational linguistics , vol.35 , pp. 399-433
    • Wilson, T.1    Wiebe, J.2    Hoffmann, P.3
  • 67
    • 79251597226 scopus 로고    scopus 로고
    • Exploring the use of word relation features for sentiment classification
    • Association for Computational Linguistics Stroudsburg, PA, USA
    • Xia, R., Zong, C., Exploring the use of word relation features for sentiment classification. Proceedings of the 23rd international conference on computational linguistics: Posters COLING ‘10, 2010, Association for Computational Linguistics, Stroudsburg, PA, USA, 1336–1344 http://dl.acm.org/citation.cfm?id=1944566.1944719.
    • (2010) Proceedings of the 23rd international conference on computational linguistics: Posters COLING ‘10 , pp. 1336-1344
    • Xia, R.1    Zong, C.2
  • 68
    • 85123620936 scopus 로고    scopus 로고
    • A pos-based ensemble model for cross-domain sentiment classification.
    • Citeseer
    • Xia, R., Zong, C., A pos-based ensemble model for cross-domain sentiment classification. IJCNLP, 2011, Citeseer, 614–622.
    • (2011) IJCNLP , pp. 614-622
    • Xia, R.1    Zong, C.2
  • 69
    • 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 181 (2011), 1138–1152, 10.1016/j.ins.2010.11.023 http://www.sciencedirect.com/science/article/pii/S0020025510005682.
    • (2011) Information Sciences , vol.181 , pp. 1138-1152
    • Xia, R.1    Zong, C.2    Li, S.3
  • 70
    • 84910630754 scopus 로고    scopus 로고
    • Chinese comments sentiment classification based on word2vec and svm perf
    • Zhang, D., Xu, H., Su, Z., Xu, Y., Chinese comments sentiment classification based on word2vec and svm perf. Expert Systems with Applications 42 (2015), 1857–1863.
    • (2015) Expert Systems with Applications , vol.42 , pp. 1857-1863
    • Zhang, D.1    Xu, H.2    Su, Z.3    Xu, Y.4
  • 72
    • 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 41 (2015), 531–549.
    • (2015) Journal of Information Science , vol.41 , pp. 531-549
    • Zhang, P.1    He, Z.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.