Literatura académica sobre el tema "Author Topic Model"
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Artículos de revistas sobre el tema "Author Topic Model"
Han, Peng, Ming Mei Chen y Ying Nan Zhang. "A Hierarchical Bayesian Model for Text Corpora". Applied Mechanics and Materials 687-691 (noviembre de 2014): 1237–40. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.1237.
Texto completoJin, Jian, Qian Geng, Haikun Mou y Chong Chen. "Author–Subject–Topic model for reviewer recommendation". Journal of Information Science 45, n.º 4 (19 de octubre de 2018): 554–70. http://dx.doi.org/10.1177/0165551518806116.
Texto completoHoi, Huynh Tan. "FINDING OUT THE INFLUENCE OF TOPIC BASED OBJECT ACCORDING TO SOCIAL NETWORKS". INFORMATION TECHNOLOGY IN INDUSTRY 9, n.º 1 (15 de marzo de 2021): 948–53. http://dx.doi.org/10.17762/itii.v9i1.222.
Texto completoPhan, Truong Ho Viet, Thanh Trung Ho y Phuc Do. "Topic based object Influence analysis in Social networks". Science and Technology Development Journal 16, n.º 4 (31 de diciembre de 2013): 68–78. http://dx.doi.org/10.32508/stdj.v16i4.1586.
Texto completoSeroussi, Yanir, Ingrid Zukerman y Fabian Bohnert. "Authorship Attribution with Topic Models". Computational Linguistics 40, n.º 2 (junio de 2014): 269–310. http://dx.doi.org/10.1162/coli_a_00173.
Texto completoRifqi Nafis, Rizky Parlika y Sugiarto. "MENGELOMPOKKAN TOPIK TWEET AKUN POLITISI DENGAN PEMODELAN TOPIK METODE AUTHOR-TOPIC MODELS". Jurnal Informatika dan Sistem Informasi 2, n.º 1 (23 de marzo de 2021): 99–105. http://dx.doi.org/10.33005/jifosi.v2i1.268.
Texto completoLiu, Sanya, Cheng Ni, Zhi Liu, Xian Peng y Hercy N. H. Cheng. "Mining Individual Learning Topics in Course Reviews Based on Author Topic Model". International Journal of Distance Education Technologies 15, n.º 3 (julio de 2017): 1–14. http://dx.doi.org/10.4018/ijdet.2017070101.
Texto completoKim, Jooyeon, Dongwoo Kim y Alice Oh. "Joint Modeling of Topics, Citations, and Topical Authority in Academic Corpora". Transactions of the Association for Computational Linguistics 5 (diciembre de 2017): 191–204. http://dx.doi.org/10.1162/tacl_a_00055.
Texto completoRakhmawati, Nur Aini, N. F. Faiz, Irmasari Hafidz, Indra Raditya, Pande Dinatha y Andrianto Suwignyo. "Clustering student Instagram accounts using author-topic model". International Journal of Business Intelligence and Data Mining 19, n.º 1 (2021): 70. http://dx.doi.org/10.1504/ijbidm.2021.115954.
Texto completoMcCallum, A., X. Wang y A. Corrada-Emmanuel. "Topic and Role Discovery in Social Networks with Experiments on Enron and Academic Email". Journal of Artificial Intelligence Research 30 (13 de octubre de 2007): 249–72. http://dx.doi.org/10.1613/jair.2229.
Texto completoTesis sobre el tema "Author Topic Model"
KAVOOSIFAR, MOHAMMAD REZA. "Data Mining and Indexing Big Multimedia Data". Doctoral thesis, Politecnico di Torino, 2019. http://hdl.handle.net/11583/2742526.
Texto completoJuselius, Mikael. "A cointegration approach to topics in empirical macroeconomics /". Helsingfors : Svenska Handelshögskolan, 2007. http://www.gbv.de/dms/zbw/555519236.pdf.
Texto completoMouzouni, Charafeddine. "Topic in mean field games theory & applications in economics and quantitative finance". Thesis, Lyon, 2019. http://www.theses.fr/2019LYSEC006.
Texto completoMean Field Game (MFG) systems describe equilibrium configurations in differential games with infinitely many infinitesimal interacting agents. This thesis is articulated around three different contributions to the theory of Mean Field Games. The main purpose is to explore the power of this theory as a modeling tool in various fields, and to propose original approaches to deal with the underlying mathematical questions. The first chapter presents the key concepts and ideas that we use throughout the thesis: we introduce the MFG problem, and we briefly explain the asymptotic link with N-Player differential games when N → ∞. Next we present our main results and contributions, that are explained more in details in the subsequent chapters. In Chapter 2, we explore a Mean Field Game model with myopic agents. In contrast to the classical MFG models, we consider less rational agents which do not anticipate the evolution of the environment, but only observe the current state of the system, undergo changes and take actions accordingly. We analyze the resulting system of coupled PDEs and provide a rigorous derivation of that system from N-Player stochastic differential games models. Next, we show that our population of agents can self-organize and converge exponentially fast to the well-known ergodic MFG equilibrium. Chapters 3 and 4 deal with a MFG model in which producers compete to sell an exhaustible resource such as oil, coal, natural gas, or minerals. In Chapter 3, we propose an alternative approach based on a variational method to formulate the MFG problem, and we explore the deterministic limit (without fluctuations of demand) in a regime where re- sources are renewable or abundant. In Chapter 4 we address the rigorous link between the Cournot MFG model and the N-Player Cournot competition when N is large. In Chapter 5, we introduce a MFG model for the optimal execution of a multi-asset portfolio. We start by formulating the MFG problem, then we compute the optimal execution strategy for a given investor knowing her/his initial inventory and we carry out several simulations. Next, we analyze the influence of the trading activity on the observed intra-day pattern of the covariance matrix of returns and we apply our results in an empirical analysis on a pool of 176 US stocks
Shen, Sheng-Yao y 沈聖堯. "Improving Variational Auto-Encoder Based Neural Topic Model with Sparse Latent Concept Layer". Thesis, 2017. http://ndltd.ncl.edu.tw/handle/jg7gu7.
Texto completo國立臺灣大學
電機工程學研究所
105
In this thesis, the primary contribution is proposing a simple variational auto-encoder based topic model, and effective topic word selection criteria. By decomposing the probability matrix into the product of a topic matrix and a word matrix, we introduce sparse latent concepts (SLC) as the dimensionalities of the semantic space of the topic and word vectors, improve the model based on the idea that a topic is represented as few latent concepts, and select topic words by semantic similarity between topic and word vectors. In the experiments, SLC-based model outperforms the non-SLC-based model in terms of average topic coherence.
Libros sobre el tema "Author Topic Model"
Brioni, Simone y Shirin Ramzanali Fazel. Scrivere di Islam. Venice: Edizioni Ca' Foscari, 2020. http://dx.doi.org/10.30687/978-88-6969-411-0.
Texto completoBol'shunova, Sofiya, Ekaterina Voevodina, Vasiliy Dyagilev, Mihail Zelenkov, Dariya Kushnir, Aleksandr Ozerov, Aleksandra Proskurina, Yuliya Ten, Sergey Klyagin y Aziza Yarasheva. Intercultural communication in the global world: modeling, efficiency, trust. ru: INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1895951.
Texto completoBalackiy, Evgeniy, Natal'ya Ekimova, Aleksandr Rudnev y Aleksandr Gusev. New approaches to modeling economic development. ru: INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1862597.
Texto completoLei, Yuan. Mechanical Ventilation Modes. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198784975.003.0008.
Texto completoPratt, Michael W. y M. Kyle Matsuba. Peer and Romantic Relationships in Emerging Adulthood. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199934263.003.0008.
Texto completoChen, Ruey-Lin. Experimental Individuation. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190636814.003.0009.
Texto completoJockers, Matthew L. Theme. University of Illinois Press, 2017. http://dx.doi.org/10.5406/illinois/9780252037528.003.0008.
Texto completoKleege, Georgina. Introduction. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190604356.003.0001.
Texto completoRosik, Piotr. Świat dostępności - metody i komponenty : przykłady analiz empirycznych przestrzeni Polski = The world of accessibility : methods and components : cases of emprical analyses in Poland's space. Instytut Geografii i Przestrzennego Zagospodarowania im. Stanisława Leszczyckiego, Polska Akademia Nauk, 2021. http://dx.doi.org/10.7163/9788361590767.
Texto completoIon, Amalia-Elena. Management models for public policy readjustment within the EU inland freight transport industry. Editura Universitara, 2022. http://dx.doi.org/10.5682/9786062813420.
Texto completoCapítulos de libros sobre el tema "Author Topic Model"
Mou, Haikun, Qian Geng, Jian Jin y Chong Chen. "An Author Subject Topic Model for Expert Recommendation". En Information Retrieval Technology, 83–95. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-28940-3_7.
Texto completoHo, Kim Thoa, Quang Vu Bui y Marc Bui. "Dynamic Social Network Analysis Using Author-Topic Model". En Innovations for Community Services, 47–62. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93408-2_4.
Texto completoZhang, Yong, Dong-Hong Ji, Ying Su y Po Hu. "Topic Analysis for Online Reviews with an Author-Experience-Object-Topic Model". En Information Retrieval Technology, 303–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25631-8_28.
Texto completoJiang, Shuhui, Xueming Qian, Jialie Shen y Tao Mei. "Travel Recommendation via Author Topic Model Based Collaborative Filtering". En MultiMedia Modeling, 392–402. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14442-9_45.
Texto completoDai, Andrew M. y Amos J. Storkey. "The Grouped Author-Topic Model for Unsupervised Entity Resolution". En Lecture Notes in Computer Science, 241–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21735-7_30.
Texto completoLi, Chunshan, William K. Cheung, Yunming Ye y Xiaofeng Zhang. "The Author-Topic-Community Model: A Generative Model Relating Authors’ Interests and Their Community Structure". En Advanced Data Mining and Applications, 753–65. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35527-1_62.
Texto completoZhang, Haowen, Peng Nie, Yanlong Wen y Xiaojie Yuan. "Authorship Attribution for Short Texts with Author-Document Topic Model". En Knowledge Science, Engineering and Management, 29–41. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99365-2_3.
Texto completoXu, Shuo, Qingwei Shi, Xiaodong Qiao, Lijun Zhu, Hanmin Jung, Seungwoo Lee y Sung-Pil Choi. "Author-Topic over Time (AToT): A Dynamic Users’ Interest Model". En Lecture Notes in Electrical Engineering, 239–45. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-40675-1_37.
Texto completoTran, Duy-Hoang, Hideaki Takeda, Kei Kurakawa y Minh-Triet Tran. "Combining Topic Model and Co-author Network for KAKEN and DBLP Linking". En Intelligent Information and Database Systems, 396–404. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28493-9_42.
Texto completoMahalakshmi, G. S., G. Muthu Selvi y S. Sendhilkumar. "Generation of Author Topic Models Using LDA". En Computational Vision and Bio Inspired Computing, 837–48. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-71767-8_72.
Texto completoActas de conferencias sobre el tema "Author Topic Model"
Kawamae, Noriaki. "Author interest topic model". En Proceeding of the 33rd international ACM SIGIR conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1835449.1835666.
Texto completoMukherjee, Subhabrata, Gaurab Basu y Sachindra Joshi. "Joint Author Sentiment Topic Model". En Proceedings of the 2014 SIAM International Conference on Data Mining. Philadelphia, PA: Society for Industrial and Applied Mathematics, 2014. http://dx.doi.org/10.1137/1.9781611973440.43.
Texto completoZhang, Tianbing y Wang Luo. "Image Quality Assessment Using Author Topic Model". En 2013 International Conference on Information Technology and Applications (ITA). IEEE, 2013. http://dx.doi.org/10.1109/ita.2013.21.
Texto completoKaneishi, Shougo y Takuya Tajima. "Word sense disambiguation using author topic model". En 2014 IEEE International Symposium on Independent Computing (ISIC). IEEE, 2014. http://dx.doi.org/10.1109/indcomp.2014.7011753.
Texto completoKeHua, Yang y Yang Xiang. "Author-Topic-Sentiment Mixture(ATSM) model for Author's Sentiment Analysis". En 3rd International Conference on Computer Science and Service System. Paris, France: Atlantis Press, 2014. http://dx.doi.org/10.2991/csss-14.2014.20.
Texto completoWang, Jianwen, Xiaohua Hu, Xinhui Tu y Tingting He. "Author-conference topic-connection model for academic network search". En the 21st ACM international conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2396761.2398597.
Texto completoShalinie, S. Mercy, K. Sundarakantham y S. Pushparathi. "A author topic model based unsupervised algorithm for learning topics from large text collections". En 2011 International Conference on Recent Trends in Information Technology (ICRTIT). IEEE, 2011. http://dx.doi.org/10.1109/icrtit.2011.5972315.
Texto completoXu, Zhiheng, Long Ru, Liang Xiang y Qing Yang. "Discovering User Interest on Twitter with a Modified Author-Topic Model". En 2011 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies. IEEE, 2011. http://dx.doi.org/10.1109/wi-iat.2011.47.
Texto completoXuan, Junyu, Jie Lu, Guangquan Zhang, Richard Yi Da Xu y Xiangfeng Luo. "Infinite Author Topic Model Based on Mixed Gamma-Negative Binomial Process". En 2015 IEEE International Conference on Data Mining (ICDM). IEEE, 2015. http://dx.doi.org/10.1109/icdm.2015.19.
Texto completoGiaquinto, Robert y Arindam Banerjee. "DAPPER: Scaling Dynamic Author Persona Topic Model to Billion Word Corpora". En 2018 IEEE International Conference on Data Mining (ICDM). IEEE, 2018. http://dx.doi.org/10.1109/icdm.2018.00120.
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