Auswahl der wissenschaftlichen Literatur zum Thema „Micro-messages“
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Zeitschriftenartikel zum Thema "Micro-messages"
Gupta, Mukul, Pradeep Kumar und Bharat Bhasker. „Clustering of Micro-Messages Using Similarity Upper Approximation“. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 25, Nr. 01 (Februar 2017): 53–79. http://dx.doi.org/10.1142/s0218488517500039.
Der volle Inhalt der QuelleDunkel, Anke, Kent Nakamoto und Peter J. Schulz. „Micro-cultural customization of organ donation propagation messages“. Patient Education and Counseling 101, Nr. 5 (Mai 2018): 824–29. http://dx.doi.org/10.1016/j.pec.2017.12.019.
Der volle Inhalt der QuelleShen, 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.
Der volle Inhalt der QuelleKipp, Peter C., Yibo (James) Zhang und Amanuel F. Tadesse. „Can Social Media Interaction and Message Features Influence Nonprofessional Investors' Perceptions of Firms?“ Journal of Information Systems 33, Nr. 2 (01.02.2018): 77–98. http://dx.doi.org/10.2308/isys-52067.
Der volle Inhalt der QuelleAli, Mubashir, Anees Baqir, Giuseppe Psaila und 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.
Der volle Inhalt der QuelleLiu, Pei Yu, Yan Hui Zhang, Jing Xun Wei und Xiu Yan Hou. „MicroBlog Orientation Analysis Based on Sentiment Symbol“. Applied Mechanics and Materials 687-691 (November 2014): 1933–37. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.1933.
Der volle Inhalt der QuelleAl-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.
Der volle Inhalt der QuellePavithra, R., und 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 (05.03.2019): 39–45. http://dx.doi.org/10.51983/ajcst-2019.8.s2.2027.
Der volle Inhalt der QuelleJiang, W., Y. Wang, M. H. Tsou und 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 (08.06.2016): 553–54. http://dx.doi.org/10.5194/isprs-archives-xli-b2-553-2016.
Der volle Inhalt der QuelleWang, Yan Ping. „Research on the Design and Application of Micro Blog Network Marketing into the Global Trade“. Applied Mechanics and Materials 687-691 (November 2014): 4902–5. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.4902.
Der volle Inhalt der QuelleDissertationen zum Thema "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.
Der volle Inhalt der QuelleDissertação (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.
Der volle Inhalt der QuelleBücher zum Thema "Micro-messages"
Inc, Micro Focus, Hrsg. Micro Focus COBOL/2: Error messages. Palo Alto, CA: Micro Focus Inc., 1988.
Den vollen Inhalt der Quelle findenBundschuh, Rick, und Tom Finley. Micro Messages. Regal Books, 1995.
Den vollen Inhalt der Quelle findenError messages manual for use with Micro Focus COBOL. 2. Aufl. Newbury: Micro Focus, 1989.
Den vollen Inhalt der Quelle findenBogdanović, Jelena. Nested in Its Own Shape. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190465186.003.0006.
Der volle Inhalt der QuelleBuchteile zum Thema "Micro-messages"
Sousa Silva, Rui, Gustavo Laboreiro, Luís Sarmento, Tim Grant, Eugénio Oliveira und Belinda Maia. „‘twazn me!!! ;(’ Automatic Authorship Analysis of Micro-Blogging Messages“. In 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.
Der volle Inhalt der QuelleLi, Yang, Yiheng Chen, Ting Liu und Wenchao Deng. „Predicting the Popularity of Messages on Micro-blog Services“. In 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.
Der volle Inhalt der QuelleAykent, Sarp, und Cheryl Seals. „Exploring the Anonymity of Social Media Users Using Micro-messages“. In Social Computing and Social Media, 14–24. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-35915-6_2.
Der volle Inhalt der QuelleChen, Gaowei, und Ming M. Chiu. „Discussion Processes in Online Forums“. In Advances in Computer and Electrical Engineering, 1702–13. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7598-6.ch125.
Der volle Inhalt der QuelleChen, Gaowei, und Ming M. Chiu. „Discussion Processes in Online Forums“. In 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.
Der volle Inhalt der QuelleWebb, Lynne M., und Yuanxin Wang. „Techniques for Sampling Online Text-Based Data Sets“. In Big Data, 655–75. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9840-6.ch030.
Der volle Inhalt der QuelleGuevara, Katherine. „Designing Text Message Learning to More Equitably Reach Students Wherever They Go“. In 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.
Der volle Inhalt der QuelleHughes, Emily. „Introduction“. In Studying Talk to Her, 9–10. Liverpool University Press, 2015. http://dx.doi.org/10.3828/liverpool/9781906733438.003.0002.
Der volle Inhalt der QuelleVictor Rajan, K. „Sentiment Analysis of Social Media Using Artificial Intelligence“. In Artificial Intelligence. IntechOpen, 2024. http://dx.doi.org/10.5772/intechopen.113092.
Der volle Inhalt der QuelleStein, Michael D., und Sandro Galea. „In Social Media We Trust“. In Pained, 187–90. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780197510384.003.0054.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Micro-messages"
Brocardo, Marcelo Luiz, und Issa Traore. „Continuous authentication using micro-messages“. In 2014 Twelfth Annual Conference on Privacy, Security and Trust (PST). IEEE, 2014. http://dx.doi.org/10.1109/pst.2014.6890938.
Der volle Inhalt der QuelleTsur, Oren, Adi Littman und Ari Rappoport. „Scalable multi stage clustering of tagged micro-messages“. In the 21st international conference companion. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2187980.2188157.
Der volle Inhalt der QuelleCosta, Joana, Catarina Silva, Mario Antunes und Bernardete Ribeiro. „The impact of longstanding messages in micro-blogging classification“. In 2015 International Joint Conference on Neural Networks (IJCNN). IEEE, 2015. http://dx.doi.org/10.1109/ijcnn.2015.7280731.
Der volle Inhalt der QuelleLaboreiro, Gustavo, Luís Sarmento, Jorge Teixeira und Eugénio Oliveira. „Tokenizing micro-blogging messages using a text classification approach“. In the fourth workshop. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1871840.1871853.
Der volle Inhalt der QuelleAykent, Sarp, und Gerry Dozier. „AARef: Exploiting Authorship Identifiers of Micro-Messages with Refinement Blocks“. In 2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA). IEEE, 2020. http://dx.doi.org/10.1109/icmla51294.2020.00169.
Der volle Inhalt der QuelleAykent, Sarp, und Gerry Dozier. „Author Identification of Micro-Messages via Multi-Channel Convolutional Neural Networks“. In 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2020. http://dx.doi.org/10.1109/smc42975.2020.9283214.
Der volle Inhalt der QuelleAhmed, Syed, KV Charan, V. Sudha, H. Suma, M. Sindhu, J. Ranjani und Prerana Jayaprakash. „Enhancing Accessibility of Messages Using Clustering and Labeling In Micro blogging’s“. In 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.
Der volle Inhalt der QuelleMunusamy, Shankar, Michael Nelson und Ronald Torry. „Micro-dosing Mindfulness and Wellness Messages into Pharmacology Classrooms Improves Pharmacy Students’ Resilience“. In ASPET 2024 Annual Meeting Abstract. American Society for Pharmacology and Experimental Therapeutics, 2024. http://dx.doi.org/10.1124/jpet.019.872160.
Der volle Inhalt der QuelleTheophilo, Antonio, Luis A. M. Pereira und Anderson Rocha. „A Needle in a Haystack? Harnessing Onomatopoeia and User-specific Stylometrics for Authorship Attribution of Micro-messages“. In ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2019. http://dx.doi.org/10.1109/icassp.2019.8683747.
Der volle Inhalt der QuelleMartino, Giovanni Da San, Stefano Cresci, Alberto Barrón-Cedeño, Seunghak Yu, Roberto Di Pietro und Preslav Nakov. „A Survey on Computational Propaganda Detection“. In 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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