Analisis Trend Akun Media Sosial Twitter Menggunakan TF-IDF dan Cosine Similarity
Abstract
Media sosial saat ini merupakan media digital yang banyak digunakan oleh masyarakat untuk berinteraksi. Informasi mengenai kejadian atau berita yang sedang terjadi sangat cepat terdistribusi melalui media sosial. Hal ini dikarenakan seluruh masyarakat dapat menjadi sumber informasi, tidak hanya sebagai pembaca seperti halnya pada media massa. Pada penelitian ini, penulis memiliki ide untuk menganalisa trend yang ada pada masyarakat melalui akun-akun media sosial yang telah ditentukan sebelumnya. Proses analisa tersebut dilakukan dengan menggunakan metode TF-IDF dan Cosine Similarity untuk pembentukkan dataset secara aktual. Hasil pengujian menunjukkan bahwa dataset yang dibentuk secara langsung menggunakan data uji menghasilkan nilai kemiripan yang cukup tinggi terhadap data uji, yaitu sebesar 99.14%.References
A. M. Kaplan e M. Haenlein, “Users of the world, unite! The challenges and opportunities of Social Media,†Business horizons, vol. 53, nº 1, pp. 59-68, 2010.
T. L. Tuten, Advertising 2.0: social media marketing in a web 2.0 world: social media marketing in a web 2.0 world, ABC-Clio, 2008.
D. Chaffey, “Smart Insights - Global social media research summary 2018,†Smart Insights, 28 March 2018. [Online]. Available: https://www.smartinsights.com/social-media-marketing/social-media-strategy/new-global-social-media-research/. [Acesso em 10 September 2018].
R. Cooley, B. Mobasher e J. Srivastava, “Web mining: Information and pattern discovery on the world wide web,†em Tools with Artificial Intelligence, 1997. Proceedings., Ninth IEEE International Conference on. IEEE, 1997.
R. Kosala e H. Blockeel, “Web mining research: A survey,†ACM Sigkdd Explorations Newsletter, vol. 2, nº 1, pp. 1-15, 2000.
A. R. Chrismanto e Y. Lukito, “Klasifikasi Sentimen Komentar Politik dari Facebook Page Menggunakan Naive Bayes,†Jurnal Informatika dan Sistem Informasi, vol. 2, nº 2, pp. 26-34, 2016.
X. Chen, M. Vorvoreanu e K. Madhavan, “Mining Social Media Data for Understanding Student's Learning Experiences,†IEEE Transactions on Learning Technologies, vol. 7, nº 3, pp. 246-259, 2014.
M. Mathioudakis e N. Koudas, “Twittermonitor: trend detection over the twitter stream,†em Proceedings of the 2010 ACM SIGMOD International Conference on Management of data, 2010.
W. He, S. Zha e L. Li, “Social media competitive analysis and text mining: A case study in pizza industry,†International Journal of Information Management, vol. 33, nº 3, pp. 464-472, 2013.
M. Allahyari, S. Pouriyeh, M. Assefi, S. Safaei, E. D. Trippe, J. B. Gutierrez e K. Kochut, “A brief survey of text mining: Classification, clustering and extraction techniques,†arXiv preprint arXiv:1707.02919, 2017.
S. A. Salloum, M. Al-Emran, A. A. Monem e K. Shaalan, “Using text mining techniques for extracting information from research articles,†Intelligent Natural Language Processing: Trends and Applications, pp. 373-397, 2018.
S. Vijayarani, J. Ilamathi e Nithya, “Preprocessing techniques for text mining-an overview,†International Journal of Computer Science & Communication Networks, vol. 5, nº 1, pp. 7-16, 2015.
S. Menaka e N. Radha, “Text classification using keyword extraction technique,†International Journal of Advanced Research in Computer Science and Software Engineering, vol. 3, nº 12, pp. 734-740, 2013.
F. S. Al-Anzi e D. AbuZeina, “Toward an enhanced Arabic text classification using cosine similarity and latent semantic indexing,†Journal of King Saud University – Computer and Information Sciences, vol. 29, nº 2, pp. 189-195, 2017.
W. H. Gomaa e A. A. Fahmy, “A Survey of Text Similarity Approaches,†International Journal of Computer Applications , vol. 68, nº 13, pp. 13-18, 2013.
A. M. Kaplan e M. Haenlein, “Users of the world, unite! The challenges and opportunities of Social Media,†Business Horizons, vol. 53, pp. 59-68, 2010.
T. O'reilly, What is web 2.0, 2005.
A. J. Kim e K. K. Johnson, “Power of consumers using social media: Examining the influences of brand-related user-generated content on Facebook,†Computer in Human Behavior, vol. 58, pp. 98-108, 2016.
T. Daugherty, M. S. Eastin e L. Bright, “Exploring consumer motivations for creating user-generated content,†Journal of interactive advertising, vol. 2, nº 2, pp. 16-25, 2008.
K. A. Manap e N. Adzharudin, “The role of user generated content (UGC) in social media for tourism sector,†em The 2013 WEI International Academic Conference Proceedings, 2013.
A. Z. Bahtar e M. Muda, “The Impact of User--Generated Content (UGC) on Product Reviews towards Online Purchasing-A Conceptual Framework,†em Procedia Economics and Finance, 2016.
K. Crowston e I. Fagnot, “Stages of motivation for contributing user-generated content: A theory and empirical test,†International Journal of Human-Computer Studies, vol. 109, pp. 89-101, 2018.
D. Jiang, X. Luo, J. Xian e Z. Xu, “Sentiment Computing for the News Events Based on the Social Media Big Data,†IEEE Access, vol. 5, pp. 2373-2382, 2017.
J. Chae, D. Thom, H. Bosch, Y. Jang e R. Maciejewski, “Spatiotemporal Social Media Analytics for Abnormal Event Detection and Examination using Seasonal-Trend Decomposition,†em Visual Analytics Science and Technology (VAST), 2012.
S. Inzalkar e J. Sharma, “A survey on text mining-techniques and application,†International Journal of Research In Science & Engineering, vol. 24, pp. 1-14, 2015.
S. Ahmad e R. Varma, “Information extraction from text messages using data mining techniques,†Malaya Journal of Matematik, vol. S, nº 1, pp. 26-29, 2018.
D. Agnihotri, K. Verma e P. Tripathi, “Pattern and cluster mining on text data,†em Fourth International Conference on Communication Systems and Network Technologies, 2014.
D. Sebastian, “Rancang Bangun Website Klasifikasi Untuk Pencarian Produk Pasar Online Menggunakan Algoritma K-Nearest Neighbor,†Jurnal Teknik Informatika dan Sistem Informasi, vol. 3, nº 3, 2017.
A.-H. Tan, “Text Mining: The state of the art and the challenges,†em Proceedings of the PAKDD 1999 Workshop on Knowledge Disocovery from Advanced Databases, 1999.
J. A. Iglesias, A. Tiemblo, A. Ledezma e A. Sanchis, “Web news mining in an evolving framework,†Information Fusion, vol. 28, pp. 90-98, 2016.
R. Kohavi, “Mining E-Commerce Data: The good, the bad, and the ugly,†em Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001.
V. Gupta e G. S. Lehal, “A Survey of Text Mining Techniques and Applications,†Journal of Emerging Technologies in Web Intelligence, vol. 1, nº 1, pp. 60-76, 2009.
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