SENTIMENT ANALYSIS OF ISLAMIC WAQF: EVIDENCE IN INDONESIA
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Barber, I. (2010). Bayesian Reasoning and Machine Learning. USA: Cambridge University Press.
Dehaff, M. (2010). Sentiment Analysis, Hard But Worth It!. USA: Cambridge University Press.
Faishol, M.A. (2011). Implementasi Text Mining Untuk Mendukung Pencarian Topik Pada e-Library Menggunakan Mobile Device. Malang: University of Islam Negeri Maulana Malik Ibrahim.
Fathurrohman, T. (2012). Wakaf dan Penanggulangan Kemiskinan (Studi Kasus Pengelolaan Wakaf di Kabupaten Bandung Jawa Barat). Dissertation. Unpublished. Jakarta: University of Indonesia.
Hasanah, U. (1997). Peranan Wakaf dalam Mewujudkan Kesejahteraan Sosial (Studi Kasus Pengelolaan Wakaf di Jakarta Selatan). Dissertation. Unpublished. Jakarta: IAIN Jakarta.
Jiawei, H., Kamber, M., & Pei, J. (2012). Data Mining: Concepts and Techniques. Massachusetts: Morgan Kaufmann.
Kahf, M, Mahamood, S.M. (2011). Essential Readings in Contemporary Waqf Issues. Kuala Lumpur : CERT Publications.
Mihalcea, R. Banea, C. & Wiebe, J. (2007). Learning Multilingual Subjective Language via Cross-Lingual Projections. Proceedings of the Association for Computational Linguistics (ACL), 976–983.
Miner, G., Delen, D., Elder, J., Fast, A., Hill, T., & Nisbet, R. (2012). Practical Text Mining and Statistical Analysis for Non-Structured Text Data Applications. Oxford: Elsevier.
Mumtaz, H., Asghar, S., & Rima, T. (2015). An Overview of Islamic Finance. International Monetary Fund Working Paper June, 15(120).
Nurfalah, I., Rusydiana, A.S., Laila, N., & Cahyono, E.F. (2018). Early Warning to Banking Crises in the Dual Financial System in Indonesia: The Markov Switching Approach. JKAU: Islamic Economics, 31(2): 133-156.
Pang, B. & Lee, L. (2004). A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts. Proceedings of the Association for Computational Linguistics (ACL), 271–278.
Pang, B. & Lee, L. 2005. Seeing Stars: Exploiting Class Relationships for Sentiment Categorization with Respect to Rating Scales. Proceedings of the Association for Computational Linguistics (ACL), 115–124.
Pang, B., & Lee, L. (2008). Opinion Mining and Sentiment Analysis. Foundations and Trends® in Information Retrieval, 2(2): 1-135.
Rozi, I. F., Pramono, S. H., & Dahlan, E. A. (2013). Implementasi Opinion Mining (Analisis Sentimen) untuk Ekstraksi Data Opini Publik pada Perguruan Tinggi. Jurnal EECCIS, 6(1): 37-43.
Rusydiana, A. S., Firmansyah, I., & Marlina, L. (2018). Sentiment Analysis of Micro Takaful Industry: Comparison Between Indonesia and Malaysia. International Journal of Nusantara Islam, 6(1).
Rusydiana, A. S., & Devi, A. (2018). Elaborating Cash Waqf Development in Indonesia Using Analytic Network Process. International Journal of Islamic Business and Economics, 2(1): 1-13.
Rusydiana, A. S., & Devi, A. (2017). Analisis Pengelolaan Dana Wakaf Uang di Indonesia: Pendekatan Metode Analytic Network Process (ANP). Al-Awqaf: Jurnal Wakaf dan Ekonomi Islam, 10(2): 115-133.
Rusydiana, A. S., & Al Parisi, S. (2016). How Far Has Our Wakaf Been Researched?. Etikonomi, 15(1): 31-42.
Saraswati, N.W.S. (2011). Text Mining Dengan Metode Naïve Bayes Classifier dan Support Vector Machines Untuk Sentiment Analysis. Denpasar: Program Pasca Sarjana Universitas Udayana.
Snyder, B. & Barzilay, R. (2007). Multiple Aspect Ranking using the Good Grief Algorithm. Proceedings of the Joint Human Language Technology/North American Chapter of the ACL Conference (HLT-NAACL), 300–307.
Su, F., & Markert, K. (2008, August). From Words to Senses: A Case Study of Subjectivity Recognition. Proceedings of the 22nd International Conference on Computational Linguistics, 1: 825-832.
Sunni, I, & Widyantoro, D.H. (2012). Analisis Sentimen dan Ekstraksi Topik Penentu Sentimen pada Opini terhadap Tokoh Publik. Jurnal Sarjana Institut Teknologi Bandung Bidang Teknik Elektro dan Informatika, 1(2).
Wulandini, F. & Nugroho, A. N. (2009). Text Classification Using Support Vector Machine for Web Mining Based Spat Ion Temporal Analysis of the Spread of Tropical Diseases. International Conference on Rural Information and Communication Technology, 189-192.
DOI: http://dx.doi.org/10.15548/maqdis.v3i2.184
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