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Artykuły w czasopismach na temat "Micro-messages"
Gupta, Mukul, Pradeep Kumar i Bharat Bhasker. "Clustering of Micro-Messages Using Similarity Upper Approximation". International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 25, nr 01 (luty 2017): 53–79. http://dx.doi.org/10.1142/s0218488517500039.
Pełny tekst źródłaDunkel, Anke, Kent Nakamoto i Peter J. Schulz. "Micro-cultural customization of organ donation propagation messages". Patient Education and Counseling 101, nr 5 (maj 2018): 824–29. http://dx.doi.org/10.1016/j.pec.2017.12.019.
Pełny tekst źródłaShen, Zheng. "A persuasive eWOM model for increasing consumer engagement on social media: evidence from Irish fashion micro-influencers". Journal of Research in Interactive Marketing 15, nr 2 (31.05.2021): 181–99. http://dx.doi.org/10.1108/jrim-10-2019-0161.
Pełny tekst źródłaKipp, Peter C., Yibo (James) Zhang i Amanuel F. Tadesse. "Can Social Media Interaction and Message Features Influence Nonprofessional Investors' Perceptions of Firms?" Journal of Information Systems 33, nr 2 (1.02.2018): 77–98. http://dx.doi.org/10.2308/isys-52067.
Pełny tekst źródłaAli, Mubashir, Anees Baqir, Giuseppe Psaila i Sayyam Malik. "Towards the Discovery of Influencers to Follow in Micro-Blogs (Twitter) by Detecting Topics in Posted Messages (Tweets)". Applied Sciences 10, nr 16 (18.08.2020): 5715. http://dx.doi.org/10.3390/app10165715.
Pełny tekst źródłaLiu, Pei Yu, Yan Hui Zhang, Jing Xun Wei i Xiu Yan Hou. "MicroBlog Orientation Analysis Based on Sentiment Symbol". Applied Mechanics and Materials 687-691 (listopad 2014): 1933–37. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.1933.
Pełny tekst źródłaAl-Zubi, Ahmad Ali. "A New Method for Extracting Key Terms from Micro-Blogs Messages Using Wikipedia". Research Journal of Applied Sciences, Engineering and Technology 6, nr 21 (20.11.2013): 4070–76. http://dx.doi.org/10.19026/rjaset.6.3512.
Pełny tekst źródłaPavithra, R., i A. R. Mohamed Shanavas. "Sentiment Analysis about Smart Phones Using Twitter Corpus by Deep Learning Approach". Asian Journal of Computer Science and Technology 8, S2 (5.03.2019): 39–45. http://dx.doi.org/10.51983/ajcst-2019.8.s2.2027.
Pełny tekst źródłaJiang, W., Y. Wang, M. H. Tsou i X. Fu. "Using geo-targeted social media data to detect outdoor air pollution". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B2 (8.06.2016): 553–54. http://dx.doi.org/10.5194/isprs-archives-xli-b2-553-2016.
Pełny tekst źródłaWang, Yan Ping. "Research on the Design and Application of Micro Blog Network Marketing into the Global Trade". Applied Mechanics and Materials 687-691 (listopad 2014): 4902–5. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.4902.
Pełny tekst źródłaRozprawy doktorskie na temat "Micro-messages"
Cavalcante, Thiago 1989. "Authorship attribution on micro-messages = Atribuição de autoria em micro-mensagens". [s.n.], 2014. http://repositorio.unicamp.br/jspui/handle/REPOSIP/275539.
Pełny tekst źródłaDissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Matemática Estatística e Computação Científica
Made available in DSpace on 2018-08-26T21:23:31Z (GMT). No. of bitstreams: 1 Cavalcante_Thiago_M.pdf: 3493838 bytes, checksum: 369bd6608e7326d0a998b426a1c7455b (MD5) Previous issue date: 2014
Resumo: Com o crescimento continuo do uso de midias sociais, a atribuição de autoria tem um papel imortante na prevenção dos crimes cibernéticos e na análise de rastros online deixados por assediadores, \textit{bullies}, ladrões de identidade entre outros. Nesta dissertação, nós propusemos um método para atribuição de autoria que é de cem a mil vezes mais rápido que o estado da arte. Nós também obtivemos uma acurácia 65\% na classificação de 50 autores. O método proposto se baseia numa representação de caracteristicas escalável utilizando os padrões das mensagens dos micro-blogs, e também nos utilizamos de um classificador de padrões customizado para lidar com grandes quantidades de dados e alta dimensionalidade. Por fim, nós discutimos a redução do espaço de busca na análise de centenas de suspeitos online e milões de micro mensagens online, o que torna essa abordagem valiosa para forense digital e aplicação das leis
Abstract: With the ever-growing use of social media, authorship attribution plays an important role in avoiding cybercrime, and helping the analysis of online trails left behind by cyber pranks, stalkers, bullies, identity thieves and alike. In this dissertation, we propose a method for authorship attribution in micro blogs with efficiency one hundred to a thousand times faster than state-of-the-art counterparts. We also achieved a accuracy of 65% when classifying texts from 50 authors. The method relies on a powerful and scalable feature representation approach taking advantage of user patterns on micro-blog messages, and also on a custom-tailored pattern classifier adapted to deal with big data and high-dimensional data. Finally, we discuss search space reduction when analysing hundreds of online suspects and millions of online micro messages, which makes this approach invaluable for digital forensics and law enforcement
Mestrado
Ciência da Computação
Mestre em Ciência da Computação
Huet, Sylvie. "Modèles individu-centrés de systèmes sociaux : micro-modèles hybrides inspirés des données simulant le développement rural ; dynamiques collectives de filtrage et / ou de rejet des messages". Phd thesis, Université Blaise Pascal - Clermont-Ferrand II, 2013. http://tel.archives-ouvertes.fr/tel-00856248.
Pełny tekst źródłaKsiążki na temat "Micro-messages"
Inc, Micro Focus, red. Micro Focus COBOL/2: Error messages. Palo Alto, CA: Micro Focus Inc., 1988.
Znajdź pełny tekst źródłaBundschuh, Rick, i Tom Finley. Micro Messages. Regal Books, 1995.
Znajdź pełny tekst źródłaError messages manual for use with Micro Focus COBOL. Wyd. 2. Newbury: Micro Focus, 1989.
Znajdź pełny tekst źródłaBogdanović, Jelena. Nested in Its Own Shape. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190465186.003.0006.
Pełny tekst źródłaCzęści książek na temat "Micro-messages"
Sousa Silva, Rui, Gustavo Laboreiro, Luís Sarmento, Tim Grant, Eugénio Oliveira i Belinda Maia. "‘twazn me!!! ;(’ Automatic Authorship Analysis of Micro-Blogging Messages". W Natural Language Processing and Information Systems, 161–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22327-3_16.
Pełny tekst źródłaLi, Yang, Yiheng Chen, Ting Liu i Wenchao Deng. "Predicting the Popularity of Messages on Micro-blog Services". W Communications in Computer and Information Science, 44–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-45558-6_4.
Pełny tekst źródłaAykent, Sarp, i Cheryl Seals. "Exploring the Anonymity of Social Media Users Using Micro-messages". W Social Computing and Social Media, 14–24. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-35915-6_2.
Pełny tekst źródłaChen, Gaowei, i Ming M. Chiu. "Discussion Processes in Online Forums". W Advances in Computer and Electrical Engineering, 1702–13. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7598-6.ch125.
Pełny tekst źródłaChen, Gaowei, i Ming M. Chiu. "Discussion Processes in Online Forums". W Encyclopedia of Information Science and Technology, Fourth Edition, 7969–79. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-2255-3.ch693.
Pełny tekst źródłaWebb, Lynne M., i Yuanxin Wang. "Techniques for Sampling Online Text-Based Data Sets". W Big Data, 655–75. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9840-6.ch030.
Pełny tekst źródłaGuevara, Katherine. "Designing Text Message Learning to More Equitably Reach Students Wherever They Go". W TESOL Guide for Critical Praxis in Teaching, Inquiry, and Advocacy, 326–43. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-8093-6.ch016.
Pełny tekst źródłaHughes, Emily. "Introduction". W Studying Talk to Her, 9–10. Liverpool University Press, 2015. http://dx.doi.org/10.3828/liverpool/9781906733438.003.0002.
Pełny tekst źródłaVictor Rajan, K. "Sentiment Analysis of Social Media Using Artificial Intelligence". W Artificial Intelligence. IntechOpen, 2024. http://dx.doi.org/10.5772/intechopen.113092.
Pełny tekst źródłaStein, Michael D., i Sandro Galea. "In Social Media We Trust". W Pained, 187–90. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780197510384.003.0054.
Pełny tekst źródłaStreszczenia konferencji na temat "Micro-messages"
Brocardo, Marcelo Luiz, i Issa Traore. "Continuous authentication using micro-messages". W 2014 Twelfth Annual Conference on Privacy, Security and Trust (PST). IEEE, 2014. http://dx.doi.org/10.1109/pst.2014.6890938.
Pełny tekst źródłaTsur, Oren, Adi Littman i Ari Rappoport. "Scalable multi stage clustering of tagged micro-messages". W the 21st international conference companion. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2187980.2188157.
Pełny tekst źródłaCosta, Joana, Catarina Silva, Mario Antunes i Bernardete Ribeiro. "The impact of longstanding messages in micro-blogging classification". W 2015 International Joint Conference on Neural Networks (IJCNN). IEEE, 2015. http://dx.doi.org/10.1109/ijcnn.2015.7280731.
Pełny tekst źródłaLaboreiro, Gustavo, Luís Sarmento, Jorge Teixeira i Eugénio Oliveira. "Tokenizing micro-blogging messages using a text classification approach". W the fourth workshop. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1871840.1871853.
Pełny tekst źródłaAykent, Sarp, i Gerry Dozier. "AARef: Exploiting Authorship Identifiers of Micro-Messages with Refinement Blocks". W 2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA). IEEE, 2020. http://dx.doi.org/10.1109/icmla51294.2020.00169.
Pełny tekst źródłaAykent, Sarp, i Gerry Dozier. "Author Identification of Micro-Messages via Multi-Channel Convolutional Neural Networks". W 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2020. http://dx.doi.org/10.1109/smc42975.2020.9283214.
Pełny tekst źródłaAhmed, Syed, KV Charan, V. Sudha, H. Suma, M. Sindhu, J. Ranjani i Prerana Jayaprakash. "Enhancing Accessibility of Messages Using Clustering and Labeling In Micro blogging’s". W Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India. EAI, 2021. http://dx.doi.org/10.4108/eai.16-5-2020.2304025.
Pełny tekst źródłaMunusamy, Shankar, Michael Nelson i Ronald Torry. "Micro-dosing Mindfulness and Wellness Messages into Pharmacology Classrooms Improves Pharmacy Students’ Resilience". W ASPET 2024 Annual Meeting Abstract. American Society for Pharmacology and Experimental Therapeutics, 2024. http://dx.doi.org/10.1124/jpet.019.872160.
Pełny tekst źródłaTheophilo, Antonio, Luis A. M. Pereira i Anderson Rocha. "A Needle in a Haystack? Harnessing Onomatopoeia and User-specific Stylometrics for Authorship Attribution of Micro-messages". W ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2019. http://dx.doi.org/10.1109/icassp.2019.8683747.
Pełny tekst źródłaMartino, Giovanni Da San, Stefano Cresci, Alberto Barrón-Cedeño, Seunghak Yu, Roberto Di Pietro i Preslav Nakov. "A Survey on Computational Propaganda Detection". W Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/672.
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