FİKİR MADENCİLİĞİ VE DUYGU ANALİZİ, YAKLAŞIMLAR, YÖNTEMLER ÜZERİNE BİR ARAŞTIRMA

Barış ÖZYURT; Muhammet Ali AKCAYOL

FİKİR MADENCİLİĞİ VE DUYGU ANALİZİ, YAKLAŞIMLAR, YÖNTEMLER ÜZERİNE BİR ARAŞTIRMA

Barış ÖZYURT, Muhammet Ali AKCAYOL

Öz

Günümüzde Web uygulamalarının yaygınlaşmasıyla birlikte bireylerin fikir, düşünce ve duygularını ifade ettikleri platformların kullanımı büyük bir hızla artmıştır. Bu platformlarda bireylerden alınmış veriler çok büyük boyutlara ulaşmaktadır. Bu verilerin manuel olarak analiz edilmesi veya sınıflandırılması mümkün olmadığından otomatik analiz edilmesi ve sınıflandırılması zorunluluk haline gelmiştir. Bu nedenle fikir madenciliği ve duygu analizine yönelik araştırmalar son yıllarda giderek artmaya başlamıştır. Bu makalede fikir madenciliği ve duygu analizi konusu detaylarıyla, uygulanan yöntemlerle birlikte anlatılmış, bu alanda yapılmış olan çalışmalar incelenmiş ve literatür taraması şeklinde sunulmuştur.

Anahtar Kelimeler

Duygu analizi, Fikir madenciliği

Tam Metin:

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Referanslar

Akba, F., Uçan, A., Sezer, E.A., Sever, H., “Assessment of feature selection metrics for sentiment analyses: Turkish movie reviews”, 8th European Conference on Data Mining, Lizbon, Portekiz, 180-184, 2014.

Akbaş, E., 2012, Aspect Based Opinion Mining on Turkish Tweets, Yüksek Lisans Tezi, Bilkent Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü, Ankara.

Akhtar, M.S., Gupta, D., Ekbal, A., Bhattacharyya, P., 2017, “Feature selection and ensemble construction: A two-step method for aspect based sentiment analysis”, Knowledge-Based Systems, Cilt 125, ss.116-135.

Aytekin, Ç., 2013, “An Opinion Mining Task in Turkish Language A Model for Assigning Opinions in Turkish Blogs to the Polarities”, Journalism and Mass Communication, Cilt 3, ss.179-198.

Bagheria, A., Saraee, M., Jong, F., 2013, “Care more about customers: Unsupervised domain-independent aspect detection for sentiment analysis of customer reviews”, Knowledge-Based Systems, Cilt 52, ss.201-203.

Balahur, A., Hermida, J.M., Montoyo, A., 2012, “Detecting implicit expressions of emotion in text: A comparative analysis”, Decision Support Systems, Cilt 53, ss.742-753.

Bespalov, D., Bai, B., Qi, Y., Shokoufandeh, A., “Sentiment Classification Based on Supervised Latent n-gram Analysis”, In Proceedings of CIKM '11, 20th ACM International Conference on Information and Knowledge Management, Glasgow, İngiltere, 375-382, 2011.

Bhadane, C., Dalal, H., Doshi, H., 2015, “Sentiment Analysis: Measuring Opinions”, Procedia Computer Science, Cilt 45, ss.808-814.

Blei, D.M., Ng, A.Y., Jordan, M.I., 2003, “Latent Dirichlet Allocation”, The Journal of Machine Learning Research, Cilt 3, ss.993-1022.

Brody, S., Elhadad, N., “An unsupervised aspect-sentiment model for online reviews”, Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, LA, ABD, 804-812, 2010.

Cesa-Bianchi, N., Gentile, C., Zaniboni, L., 2006, “Incremental Algorithms for Hierarchical Classification”, Journal of Machine Learning Research, Cilt 7, ss.31-54.

Chen, T., Xu, R., He, Y., Wang, X., 2017, “Improving sentiment analysis via sentence type classification using BiLSTM-CRF and CNN”, Expert Systems with Applications, Cilt 72, ss.221-230.

Choi, Y., Cardie, C., “Learning with Compositional Semantics as Structural Inference for Subsentential Sentiment Analysis”, In Proceedings of EMNLP'08, Conference on Empirical Methods in Natural Language Processing, Waikiki, Hawaii, 793-801, 2008.

Church, K.W., Hanks, P., 1990, “Word association norms, mutual information and lexicography”, Computational Linguistics, Cilt 16, ss.22-29.

Çetin, M., Amasyalı, M.F., “Supervised and traditional term weighting methods for sentiment analysis”, Signal Processing and Communications Applications Conference (SIU), Haspolat, KKTC, 1-4, 2013.

Dalkılıç, F.E., Gelişli, S., Diri B., “Named Entity Recognition from Turkish texts”, IEEE 18. Sinyal İşleme ve İletişim Uygulamaları Kurultayı, Diyarbakır, Türkiye, 918-920, 2010.

Davidov, D., Tsur, O., Rappoport, A., “Enhanced Sentiment Learning Using Twitter Hashtags and Smileys”, In Proceedings of COLING'10, 23rd International Conference on Computational Linguistics, Pekin, Çin, 241-249, 2010.

Ding, X., Liu, B., Yu, PS., “A holistic lexicon-based approach to opinion mining”, In Proceedings of WSDM-2008, Conference on Web Search and Web Data Mining. Stanford ABD, 231-240, 2008.

Eirinaki, M., Pisal, S., Singh, J., 2012, “Feature-based opinion mining and ranking”, Journal of Computer and System Sciences, Cilt 78, ss.1175-1184.

Eroğul, U., 2009, Sentiment Analysis In Turkish, Yüksek Lisans Tezi, Orta Doğu Teknik Üniversitesi, Bilgisayar Mühendisliği Bölümü, Ankara.

Fernández-Gavilanes, M., Álvarez-López, T., Juncal-Martínez, J., Costa-Montenegro, E., González-Castaño, F.J., 2016, “Unsupervised method for sentiment analysis in online texts”, Expert Systems with Applications, Cilt 58, ss.57-75.

Goldensohn, S.B., Hannan, K., McDonald, R., Neylon, T., Reis, G.A., Reynar, J., “Building a sentiment summarizer for local service reviews”, In Proceedings of WWW’08 Workshop: NLP in the Information Explosion Era, Pekin, Çin, 2008.

Habernal, I., Ptacek, T., Steinberger, J., 2015, “Supervised sentiment analysis in Czech social media, Information Processing & Management”, Cilt 50, ss.693-707.

Hailong, Z., Wenyan, G., Bo, J., “Machine Learning and Lexicon Based Methods for Sentiment Classification: A Survey”, WISA'14 Proceedings of the 2014 11th Web Information System and Application Conference, Tianjin, China, 262-265, 2014.

Hu, M., Liu, B., “Mining and summarizing customer reviews”, KDD’04, International Conference on Knowledge Discovery and Data Mining, Seattle, ABD, 168-177, 2004.

ISEAR Databank, http://emotion-research.net/toolbox/toolboxdatabase.2006-10-13.2581092615, Ziyaret Tarihi: 01.10.2017.

Isidro, P.M., Rafael, V.G., Francisco, G.S., “Ontology-Guided Approach to Feature-Based Opinion Mining”, NLDB’11, Proceedings of the 16th international conference on Natural language processing and information systems, Alicante, İspanya, 193-200, 2011.

Jiang, L., Yu, M., Zhou, M., Liu, X., Zhao, T., “Target dependent twitter sentiment classification”, In Proceedings of ACL‘11, 49th Annual Meeting of the Association for Computational Linguistics, Portland, ABD, 151-160, 2011.

Kang, D., Park, Y., 2014, “Review-based measurement of customer satisfaction in mobile service: Sentiment analysis and VIKOR approach”, Expert Systems with Applications, Cilt 41, ss.1041-1050.

Kang, H., Yoo, SJ., Han, D., 2012, “Senti-lexicon and improved Naïve Bayes algorithms for sentiment analysis of restaurant reviews”, Expert Systems with Applications, Cilt 39, ss.6000-6010.

Kansal, H., Toshniwal, D., 2014, “Aspect based Summarization of Context Dependent Opinion Words”, Procedia Computer Science, Cilt 35, ss.166-175.

Kaya, M., Fidan, G., Toroslu, I.H., “Sentiment Analysis of Turkish Political News”, In Proceedings of WI-IAT’12 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology, Macau, Çin, 174-180, 2012.

Kennedy, A., Inkpen, D., 2006, “Sentiment classification of movie reviews using contextual valence shifters”, Computational Intelligence, Cilt 22, ss.110-125.

Khan, F.H., Qamar, U., Bashir, S., 2016, “eSAP - A decision support framework for enhanced sentiment analysis and polarity classification”, Information Sciences, Cilt 367-368, ss.862-873.

Kontopoulos, E., Berberidis, C., Dergiades, T., Bassiliades, N., 2013, “Ontology-based sentiment analysis of twitter posts”, Expert Systems with Applications, Cilt 40, ss.4065-4074.

Kushal, D., Steve, L., Pennock, D.M., “Mining the peanut gallery: Opinion extraction and semantic classification of product reviews”, In Proceedings of WWW’03, 12th International Conference on World Wide Web, Budapest Congress Centre, Macaristan, 519-528, 2003.

Küçük, D., Yazıcı, A., “Named Entity Recognition Experiments on Turkish Texts”, In Proceedings of FQAS-2009, 8th International Conference on Flexible Query Answering Systems, Roskilde, Danimarka, 524-535, 2009.

Lafferty, J., McCallum, A., Pereira F., “Conditional random fields: Probabilistic models for segmenting and labeling sequence data”, In Proceedings of ICML '01, 18th International Conference on Machine Learning, Williams College, Williamstown, MA, ABD, 282–289, 2001.

Li, S., Zhou, L., Li, Y., 2015, “Improving aspect extraction by augmenting a frequency-based method with web-based similarity measures”, Information Processing and Management, Cilt 51, ss.58-67.

Liao, C., Fengn, C., Yang, S., Huang, H., 2016, “Topic-related Chinese message sentiment analysis”, Neurocomputing, Cilt 210, ss.237-246.

Liu, B., 2012, Sentiment Analysis and Opinion Mining, Morgan & Claypool Publishers.

Liu, Q., Gao, Z., Liu, B., Zhang, Y., 2016, “Automated rule selection for opinion target extraction”, Knowledge-Based Systems, Cilt 104, ss.74-88.

Maharani, W., Widyantoro, D.H., Khodra M.L., 2015, “Aspect Extraction in Customer Reviews Using Syntactic Pattern”, Procedia Computer Science, Cilt 59, ss.244-253.

Martineau, J., Finin, T., “Delta TFIDF: An Improved Feature Space for Sentiment Analysis”, Proceedings of the Third International Conference on Weblogs and Social Media, ICWSM 2009, San Jose, Kaliforniya, ABD, 258-261, 2009.

Mcdonald, R., Hannan, K., Neylon, T., Wells, M., Reynar, J., “Structured Models for Fine-to-Coarse Sentiment Analysis”, In Proceedings of ACL-07, 45th Annual Meeting of the Association of Computational Linguistics, Prag, Çek Cumhuriyeti, 432-439, 2007.

Mejova, Y., Srinivasan, P., “Exploring Feature Definition and Selection for Sentiment Classifiers”, Proceedings of ICWSM ’11, 5th International AAAI Conference on Weblogs and Social Media, Barcelona, İspanya, 546-549, 2011.

Meral, M., Diri, B., “Sentiment Analysis on Twitter”, IEEE 22nd Signal Processing and Communications Applications Conference (SIU), Trabzon, Türkiye, 690-693, 2014.

Moghaddam, S., Ester, M., “Opinion digger: an unsupervised opinion miner from unstructured product reviews”, In Proceedings of the CIKM'10, 19th ACM international conference on Information and knowledge management”, Toronto, Kanada, 1825-1828, 2010.

Mullen, T., Collier, N., “Sentiment analysis using support vector machines with diverse information sources”, In Proceedings of EMNLP-2004, Conference on Empirical Methods in Natural Language Processing, Barcelona, İspanya, 412-418, 2004.

Nakagawa, H., Mori, T., 2003, “Automatic term recognition based on statistics of compound nouns and their components”, Terminology, Cilt 9, ss.201–219.

Nakagawa, T., Inui, K., Kurohashi, S., “Dependency treebased sentiment classification using CRFs with hidden variables”, In Proceedings of HLT ’10, 11th Annual Conference of the North American Chapter of the Association for Computational Linguistics, Los Angeles, ABD, 786-794, 2010.

Pang, B., Lee, L., Vaithyanathan, S., “Thumbs up?: sentiment classification using machine learning techniques”, In Proceedings of EMNLP-2002, Conference on Empirical Methods in Natural Language Processing, University of Pennsylvania, PA, ABD, 79-86, 2002.

Park, S., Lee, W., Moon, I.C., 2015, “Efficient extraction of domain specific sentiment lexicon with active learning”, Pattern Recognition Letters, Cilt 56, ss.38-44.

Popescu, A.M., Etzioni, O., “Extracting product features and opinions from reviews”, In Proceedings of EMNLP-2005, Conference on Empirical Methods in Natural Language Processing. Vancouver, Canada, 339-346, 2005.

Qiu, G., Liu, B., Bu, J., Chen, C., 2011, “Opinion Word Expansion and Target Extraction through Double Propagation”, Computational Linguistics, Cilt 37, ss.9-27.

Quan, C., Ren, F., 2014, “Unsupervised product feature extraction for feature-oriented opinion deermination”, Information Sciences, Cilt 272, ss.16-28.

Rabiner, L.R., 1989, “A tutorial on hidden Markov models and selected applications in speech recognition”, Proceedings of the IEEE, Cilt 77, ss.257-286.

Sevindi, B.İ., 2013, Türkçe Metinlerde Denetimli Ve Sözlük Tabanlı Duygu Analizi Yaklaşımlarının Karşılaştırılması, Yüksek Lisans Tezi, Gazi Üniversitesi, Bilgisayar Mühendisliği Bölümü, Ankara.

Swapna, S., Wiebe, J., “Recognizing stances in online debates”, In Proceedings of ACL’99, Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP, Singapur, 226-234, 2009.

Şeker, G.A., Eryiğit, G., “Initial Explorations on using CRFs for Turkish Named Entity Recognition”, In Proceedings of COLING 2012, 24th International Conference on Computational Linguistics, IIT, Bombay, Hindistan, 2459–2474, 2012.

Şimşek, M.U., Ozdemir, S., “Analysis of the Relation between Turkish Twitter Messages and Stock Market Index”, In Procedings of AICT ‘12, 6th Conference on Application of Information and Communication Technologies, Tiflis, Gürcistan, 1-4, 2012.

Taboada, M., Brooke, J., Tofiloski, M., Voll, K., Stede, M., 2011, “Lexicon-based methods for sentiment analysis”, Computational Linguistics, Cilt 37, ss.267-307.

Tetsuya, N., Jeonghee, Y., “Sentiment analysis: Capturing favorability using natural language processing”, In Proceedings of KCAP-03, 2nd International Conference on KnowledgeCapture, Sanibel Island, FL, ABD, 70-77, 2003.

Tong, R.M., “An operational system for detecting and tracking opinions in on-line discussion”, In Proceedings of SIGIR 2001 Workshop on Operational Text Classification, New Orleans, Louisiana, ABD, 2001.

Turney P.D., “Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews”, In Proceedings of ACL’02, 40th Annual Meeting of the Association for Computational Linguistics, Pennsylvania, ABD, 417-424, 2002.

Vasileios, H., Janyce, M.W., “Effects of adjective orientation and gradability on sentence subjectivity”, In Proceedings of COLING-2000, 18th Interntional Conference on Computational Linguistics, Saarbrücken, Almanya, 299-305, 2000.

Wei, W., Gulla, J.A., “Sentiment learning on product reviews via sentiment ontology tree”, In Proceedings of ACL'10, 48th Annual Meeting of the Association for Computational Linguistics, Uppsala, İsviçre, 404-413, 2010.

Wu, Y., Zhang, Q., Huang, X., Wu, L., “Phrase Dependency Parsing for Opinion Mining”, In Proceedings of EMNLP'09, Conference on Empirical Methods in Natural Language Processing, Singapur, 1533-1541, 2009.

Xianghua, F., Guo, L., Yanyan, G., Zhiqiang, W., 2013, “Multi-aspect sentiment analysis for Chinese online social reviews based on topic modeling and HowNet lexicon”, Knowledge-Based Systems, Cilt 37, ss.186-195.

Zhang, K., Xie, Y., Yang, Y., Sun, A., Liu, H., Choudhary, A., 2014, “Incorporating conditional random fields and active learning to improve sentiment identification”, Neural Networks, Cilt 58, ss.60-67.

Zhang, L., Hua, K., Wang, H., Qian, G., Zhang, L., 2014, “Sentiment Analysis on Reviews of Mobile Users”, Procedia Computer Science, Cilt 34, ss.458-465.

Zhuang, L., Jing, F., Zhu, X., “Movie review mining and summarization”, In Proceedings of CIKM’06, 15th ACM International Conference on Information and Knowledge Management, Indianapolis, ABD, 43-50, 2006.