OPINION MININGFRAMEWORK BERBASISKAN LEKSIKAL
DOI:
https://doi.org/10.47111/jti.v12i1.524Keywords:
Opinion Mining, Sentiment Analysis, FrameWork, LexiconAbstract
Opinion Mining and Sentiment Analysis can contribute in improving system performance to
meet the user’s needs. The text that represents the user's opinion may express the emotions or
opinions implicitly or explicitly. The words that compose the sentence of opinion can have many
different meanings, related to the subject being discussed or the words that compose the sentence.
This study, conducted a literature study on several researches that related to opinion mining, and
designed an opinion mining framework based lexicon.
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References
[1] Chetashri Bhadanea, Hardi Dalalb, Heenal Doshic , “Sentiment analysis: Measuring opinions”, International Conference on Advanced Computing Technologies and Applications (ICACTA-2015)
[2] Cristian Bucur, “Using Opinion Mining Techniques in Tourism”, 2nd GLOBAL CONFERENCE on BUSINESS, ECONOMICS, MANAGEMENT and TOURISM, 30-31 October 2014, Prague, Czech Republic
[3] Haji Binali, Chen Wu, Vidyasagar Potdar, Computational Approach for Emotion Detection in Text, 2010. 4th IEEE Internation Conference on Digital Ecosystems and Technologies (IEEE DEST 2010)
[4] Jan Prichsytal, Mobile Application for Customers' Reviews Opinion Mining, 19th International Conference Enterprise and Competitive Environtment 2016, ECE 2016, 10-11 March, Brno, Czeh Republic
[5] Vinodhini Gopalakrishnan, Chandrasekaran Ramaswamy, Patient opinion mining to analyze drugs satisfactionusing supervised learning, Journal of Applied Research and Technology 15(2017)311-319
[6] Vinodhini Gopalakrishnan, R.M. Chandrasekaran, Sentiment Analysis and Opinion Mining: A Survey, 2012. International Journal of Advanced Research in Computer Science and Software Engineering Vol.2
[7] Pankaj Kumar, Alisha Zaidi, Ankita Srivastava,Geet Jain, Evolving Sentiment towards E-Governance using Opinion Mining, 2015. International Journal of Computer Applications(0975-8887), International Conference on Distributed Computing and Internet Technology
[8] Ravi Arunachalam, Sandipan Sarkar,2013. The New Eye of Government: Citizen Sentiment Analysis in Social Media,2013. Workshop on Natural Language Processing for Social Media (Social NLP) pages 23-28, Nagoya, Japan
[9] Sherly Christina, Deddy Ronaldo, Peran Opinion Mining dan Sentiment Analysis untuk Mengidentifikasikan Sentimen Publik dalam Sistem E-Governance, Jurnal Teknologi Informasi Vol. 10. No. 2 Agustus 2016 ISSN 1907-896X, Palangka Raya, Kalimantan Tengah
[10] Stavros Valsamidis, Theodosios Theodosioua, Ioannis Kazanidisa, Michael Nikolaidis, A Framework for Opinion Mining in Blogs for Agriculture , 6th International Conference on Information and Communication Technologies in Agriculture, Food and Environment (HAICTA 2013)
[11] Testsuya Nasukawa, Jeonghee Yi, Sentiment Analysis: Capturing Favorability Using Natural Language Processing, 2003. Proceedings of The 2nd International Conference on Knowledge Capture Pages 70-77, ACM ©2003 ISBN:1-58113-583-1
[12] Walaa Medhat, Ahmed Hasan, Hoda Korashy, Sentiment Analysis Algorithms and Applications: A Survey, Ain Sham Engineering Journal (2014) 5, 1093-1113
[13] Wordnet 2.1 Browser
[2] Cristian Bucur, “Using Opinion Mining Techniques in Tourism”, 2nd GLOBAL CONFERENCE on BUSINESS, ECONOMICS, MANAGEMENT and TOURISM, 30-31 October 2014, Prague, Czech Republic
[3] Haji Binali, Chen Wu, Vidyasagar Potdar, Computational Approach for Emotion Detection in Text, 2010. 4th IEEE Internation Conference on Digital Ecosystems and Technologies (IEEE DEST 2010)
[4] Jan Prichsytal, Mobile Application for Customers' Reviews Opinion Mining, 19th International Conference Enterprise and Competitive Environtment 2016, ECE 2016, 10-11 March, Brno, Czeh Republic
[5] Vinodhini Gopalakrishnan, Chandrasekaran Ramaswamy, Patient opinion mining to analyze drugs satisfactionusing supervised learning, Journal of Applied Research and Technology 15(2017)311-319
[6] Vinodhini Gopalakrishnan, R.M. Chandrasekaran, Sentiment Analysis and Opinion Mining: A Survey, 2012. International Journal of Advanced Research in Computer Science and Software Engineering Vol.2
[7] Pankaj Kumar, Alisha Zaidi, Ankita Srivastava,Geet Jain, Evolving Sentiment towards E-Governance using Opinion Mining, 2015. International Journal of Computer Applications(0975-8887), International Conference on Distributed Computing and Internet Technology
[8] Ravi Arunachalam, Sandipan Sarkar,2013. The New Eye of Government: Citizen Sentiment Analysis in Social Media,2013. Workshop on Natural Language Processing for Social Media (Social NLP) pages 23-28, Nagoya, Japan
[9] Sherly Christina, Deddy Ronaldo, Peran Opinion Mining dan Sentiment Analysis untuk Mengidentifikasikan Sentimen Publik dalam Sistem E-Governance, Jurnal Teknologi Informasi Vol. 10. No. 2 Agustus 2016 ISSN 1907-896X, Palangka Raya, Kalimantan Tengah
[10] Stavros Valsamidis, Theodosios Theodosioua, Ioannis Kazanidisa, Michael Nikolaidis, A Framework for Opinion Mining in Blogs for Agriculture , 6th International Conference on Information and Communication Technologies in Agriculture, Food and Environment (HAICTA 2013)
[11] Testsuya Nasukawa, Jeonghee Yi, Sentiment Analysis: Capturing Favorability Using Natural Language Processing, 2003. Proceedings of The 2nd International Conference on Knowledge Capture Pages 70-77, ACM ©2003 ISBN:1-58113-583-1
[12] Walaa Medhat, Ahmed Hasan, Hoda Korashy, Sentiment Analysis Algorithms and Applications: A Survey, Ain Sham Engineering Journal (2014) 5, 1093-1113
[13] Wordnet 2.1 Browser
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Published
2018-01-01
