Статті в журналах з теми "Topic model methods"
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BOYKO, N., and O. PETROVSKYI. "METHODS OF CLASSIFICATION OF MACHINE LEARNING FOR CONSTRUCTION OF MATHEMATICAL MODELS ON MULTIMODAL DATA." Herald of Khmelnytskyi National University. Technical sciences 307, no. 2 (May 2, 2022): 25–32. http://dx.doi.org/10.31891/2307-5732-2022-307-2-25-32.
Повний текст джерелаJankowski, Maciej. "Ensemble Methods for Improving Classification of Data Produced by Latent Dirichlet Allocation." Computer Science and Mathematical Modelling, no. 8/2018 (March 25, 2019): 17–28. http://dx.doi.org/10.5604/01.3001.0013.1458.
Повний текст джерелаXie, Qianqian, Yutao Zhu, Jimin Huang, Pan Du, and Jian-Yun Nie. "Graph Neural Collaborative Topic Model for Citation Recommendation." ACM Transactions on Information Systems 40, no. 3 (July 31, 2022): 1–30. http://dx.doi.org/10.1145/3473973.
Повний текст джерелаGou, Zhinan, Yan Li, and Zheng Huo. "A Method for Constructing Supervised Time Topic Model Based on Variational Autoencoder." Scientific Programming 2021 (February 8, 2021): 1–11. http://dx.doi.org/10.1155/2021/6623689.
Повний текст джерелаZhu, Lixing, Yulan He, and Deyu Zhou. "A Neural Generative Model for Joint Learning Topics and Topic-Specific Word Embeddings." Transactions of the Association for Computational Linguistics 8 (August 2020): 471–85. http://dx.doi.org/10.1162/tacl_a_00326.
Повний текст джерелаMylläri, Sanna, Suoma Eeva Saarni, Ville Ritola, Grigori Joffe, Jan-Henry Stenberg, Ole André Solbakken, Nikolai Olavi Czajkowski, and Tom Rosenström. "Text Topics and Treatment Response in Internet-Delivered Cognitive Behavioral Therapy for Generalized Anxiety Disorder: Text Mining Study." Journal of Medical Internet Research 24, no. 11 (November 9, 2022): e38911. http://dx.doi.org/10.2196/38911.
Повний текст джерелаShi, Lei, Junping Du, and Feifei Kou. "A Sparse Topic Model for Bursty Topic Discovery in Social Networks." International Arab Journal of Information Technology 17, no. 5 (September 1, 2020): 816–24. http://dx.doi.org/10.34028/iajit/17/5/15.
Повний текст джерелаMeaney, Christopher, Michael Escobar, Therese A. Stukel, Peter C. Austin, and Liisa Jaakkimainen. "Comparison of Methods for Estimating Temporal Topic Models From Primary Care Clinical Text Data: Retrospective Closed Cohort Study." JMIR Medical Informatics 10, no. 12 (December 19, 2022): e40102. http://dx.doi.org/10.2196/40102.
Повний текст джерелаHong-Hui, LI, Zhao Ai-Hua, and Zhang Jun-Wen. "Research of Software Reliability Test Based on Test Model." International Journal of Open Source Software and Processes 8, no. 3 (July 2017): 49–64. http://dx.doi.org/10.4018/ijossp.2017070103.
Повний текст джерелаPark, Sang-Min, Sung Joon Lee, and Byung-Won On. "Topic Word Embedding-Based Methods for Automatically Extracting Main Aspects from Product Reviews." Applied Sciences 10, no. 11 (May 31, 2020): 3831. http://dx.doi.org/10.3390/app10113831.
Повний текст джерелаGuimin Huang, Guimin Huang, and Xiaowei Zhang Guimin Huang. "An Analysis Model of Potential Topics in English Essays Based on Semantic Space." 電腦學刊 33, no. 1 (February 2022): 151–64. http://dx.doi.org/10.53106/199115992022023301014.
Повний текст джерелаShi, Lei, Gang Cheng, Shang-ru Xie, and Gang Xie. "A word embedding topic model for topic detection and summary in social networks." Measurement and Control 52, no. 9-10 (August 27, 2019): 1289–98. http://dx.doi.org/10.1177/0020294019865750.
Повний текст джерелаWang, Kai, and Fuzhi Wang. "Topic-Feature Lattices Construction and Visualization for Dynamic Topic Number." Journal of Systems Science and Information 9, no. 5 (October 1, 2021): 558–74. http://dx.doi.org/10.21078/jssi-2021-558-17.
Повний текст джерелаHan, Jun, Yu Huang, Kuldeep Kumar, and Sukanto Bhattacharya. "Time-Varying Dynamic Topic Model." Journal of Global Information Management 26, no. 1 (January 2018): 104–19. http://dx.doi.org/10.4018/jgim.2018010106.
Повний текст джерелаZHANG, XIAOYAN, and TING WANG. "TOPIC TRACKING WITH IMPROVED REPRESENTATION MODEL AND JOINT TRACKING METHOD." International Journal of Wavelets, Multiresolution and Information Processing 08, no. 06 (November 2010): 913–30. http://dx.doi.org/10.1142/s0219691310003869.
Повний текст джерелаYu, Zehao. "Methods on Detecting Closely Related Topics and Spatial Events." International Journal of Software Engineering and Knowledge Engineering 31, no. 10 (October 2021): 1377–98. http://dx.doi.org/10.1142/s0218194021500455.
Повний текст джерелаXiong, Deyi, and Min Zhang. "A Topic-Based Coherence Model for Statistical Machine Translation." Proceedings of the AAAI Conference on Artificial Intelligence 27, no. 1 (June 30, 2013): 977–83. http://dx.doi.org/10.1609/aaai.v27i1.8566.
Повний текст джерелаLuo, Xiangfeng, and Yawen Yi. "Topic-Specific Emotion Mining Model for Online Comments." Future Internet 11, no. 3 (March 24, 2019): 79. http://dx.doi.org/10.3390/fi11030079.
Повний текст джерелаOrmeño, Pablo, Marcelo Mendoza, and Carlos Valle. "Topic Models Ensembles for AD-HOC Information Retrieval." Information 12, no. 9 (September 1, 2021): 360. http://dx.doi.org/10.3390/info12090360.
Повний текст джерелаBéchara, Hannah, Alexander Herzog, Slava Jankin, and Peter John. "Transfer learning for topic labeling: Analysis of the UK House of Commons speeches 1935–2014." Research & Politics 8, no. 2 (April 2021): 205316802110222. http://dx.doi.org/10.1177/20531680211022206.
Повний текст джерелаWood, Justin, Corey Arnold, and Wei Wang. "Knowledge Source Rankings for Semi-Supervised Topic Modeling." Information 13, no. 2 (January 24, 2022): 57. http://dx.doi.org/10.3390/info13020057.
Повний текст джерелаNovello, Noemi. "I mixed methods e la valutazione: un'analisi tramite Structural Topic Model." RIV Rassegna Italiana di Valutazione, no. 76 (August 2021): 107–22. http://dx.doi.org/10.3280/riv2020-076007.
Повний текст джерелаXu, Mingying, Junping Du, Zeli Guan, Zhe Xue, Feifei Kou, Lei Shi, Xin Xu, and Ang Li. "A Multi-RNN Research Topic Prediction Model Based on Spatial Attention and Semantic Consistency-Based Scientific Influence Modeling." Computational Intelligence and Neuroscience 2021 (December 18, 2021): 1–15. http://dx.doi.org/10.1155/2021/1766743.
Повний текст джерелаRizky, Harumi Puspa, and Doddy Setiawan. "Perkembangan Penelitian Akuntansi Sektor Publik di Indonesia." Assets: Jurnal Akuntansi dan Pendidikan 8, no. 2 (October 29, 2019): 94. http://dx.doi.org/10.25273/jap.v8i2.4647.
Повний текст джерелаJarmoszko, A. T., Marianne D’Onofrio, Joo Eng Lee-Partridge, and Olga Petkova. "Evaluating Sustainability and Greening Methods." International Journal of Applied Logistics 4, no. 3 (July 2013): 1–13. http://dx.doi.org/10.4018/jal.2013070101.
Повний текст джерелаLa Hera, Pedro, and Daniel Ortíz Morales. "Model-Based Development of Control Systems for Forestry Cranes." Journal of Control Science and Engineering 2015 (2015): 1–15. http://dx.doi.org/10.1155/2015/256951.
Повний текст джерелаGan, Jingxian, and Yong Qi. "Selection of the Optimal Number of Topics for LDA Topic Model—Taking Patent Policy Analysis as an Example." Entropy 23, no. 10 (October 3, 2021): 1301. http://dx.doi.org/10.3390/e23101301.
Повний текст джерелаPan, Tao, Qian Chen, Dong Dong Lv, Shu Han Yuan, and Xin Jin. "Study of Topic Life Cycle Based on Hierarchical HMM." Applied Mechanics and Materials 687-691 (November 2014): 1324–27. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.1324.
Повний текст джерелаYang, Hailu, Jin Zhang, Xiaoyu Ding, Chen Chen, and Lili Wang. "GTIP: A Gaming-Based Topic Influence Percolation Model for Semantic Overlapping Community Detection." Entropy 24, no. 9 (September 9, 2022): 1274. http://dx.doi.org/10.3390/e24091274.
Повний текст джерелаHe, Yuhan. "Several Methods of Inventory Control." BCP Business & Management 25 (August 30, 2022): 839–50. http://dx.doi.org/10.54691/bcpbm.v25i.1923.
Повний текст джерелаIkegami, Kenshin, and Yukio Ohsawa. "PageRank Topic Model: Estimation of Multinomial Distributions using Network Structure Analysis Methods." Fundamenta Informaticae 159, no. 3 (March 7, 2018): 257–77. http://dx.doi.org/10.3233/fi-2018-1664.
Повний текст джерелаXu, Xiao, Tao Jin, Zhijie Wei, and Jianmin Wang. "Incorporating Topic Assignment Constraint and Topic Correlation Limitation into Clinical Goal Discovering for Clinical Pathway Mining." Journal of Healthcare Engineering 2017 (2017): 1–13. http://dx.doi.org/10.1155/2017/5208072.
Повний текст джерелаDadvandipour, Samad, and Aadil Gani Ganie. "Analyzing and predicting spear-phishing using machine learning methods." Multidiszciplináris tudományok 10, no. 4 (2020): 262–73. http://dx.doi.org/10.35925/j.multi.2020.4.30.
Повний текст джерелаLi, Jiwei, and Sujian Li. "A Novel Feature-based Bayesian Model for Query Focused Multi-document Summarization." Transactions of the Association for Computational Linguistics 1 (December 2013): 89–98. http://dx.doi.org/10.1162/tacl_a_00212.
Повний текст джерелаMiyazawa, S., X. Song, R. Jiang, Z. Fan, R. Shibasaki, and T. Sato. "CITY-SCALE HUMAN MOBILITY PREDICTION MODEL BY INTEGRATING GNSS TRAJECTORIES AND SNS DATA USING LONG SHORT-TERM MEMORY." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences V-4-2020 (August 3, 2020): 87–94. http://dx.doi.org/10.5194/isprs-annals-v-4-2020-87-2020.
Повний текст джерелаWang, Lidong, Yin Zhang, Yun Zhang, Xiaodong Xu, and Shihua Cao. "Prescription Function Prediction Using Topic Model and Multilabel Classifiers." Evidence-Based Complementary and Alternative Medicine 2017 (2017): 1–10. http://dx.doi.org/10.1155/2017/8279109.
Повний текст джерелаSridhar, Dhanya, Hal Daumé, and David Blei. "Heterogeneous Supervised Topic Models." Transactions of the Association for Computational Linguistics 10 (2022): 732–45. http://dx.doi.org/10.1162/tacl_a_00487.
Повний текст джерелаChen, H., S. R. K. Branavan, R. Barzilay, and D. R. Karger. "Content Modeling Using Latent Permutations." Journal of Artificial Intelligence Research 36 (October 28, 2009): 129–63. http://dx.doi.org/10.1613/jair.2830.
Повний текст джерелаJoty, S., G. Carenini, and R. T. Ng. "Topic Segmentation and Labeling in Asynchronous Conversations." Journal of Artificial Intelligence Research 47 (July 22, 2013): 521–73. http://dx.doi.org/10.1613/jair.3940.
Повний текст джерелаChen, Mo. "Model of Network Topic Detection Based on Web Usage Behaviour Mode Analysis and Mining Technology." International Journal of Computers Communications & Control 12, no. 2 (March 1, 2017): 183. http://dx.doi.org/10.15837/ijccc.2017.2.2599.
Повний текст джерелаDu, Qiming, Nan Li, Wenfu Liu, Daozhu Sun, Shudan Yang, and Feng Yue. "A Topic Recognition Method of News Text Based on Word Embedding Enhancement." Computational Intelligence and Neuroscience 2022 (February 16, 2022): 1–15. http://dx.doi.org/10.1155/2022/4582480.
Повний текст джерелаMa, Jialin, Xiaoqiang Gong, Zhaojun Wang, and Qian Xie. "SDTM: A Novel Topic Model Framework for Syndrome Differentiation in Traditional Chinese Medicine." Journal of Healthcare Engineering 2022 (January 4, 2022): 1–12. http://dx.doi.org/10.1155/2022/6938506.
Повний текст джерелаHemphill, Libby, and Angela M. Schöpke-Gonzalez. "Two Computational Models for Analyzing Political Attention in Social Media." Proceedings of the International AAAI Conference on Web and Social Media 14 (May 26, 2020): 260–71. http://dx.doi.org/10.1609/icwsm.v14i1.7297.
Повний текст джерелаMiyano, I., H. Kataoka, N. Nakajima, T. Watabe, N. Yasuda, Y. Okuhara, and Y. Hatakeyama. "Use of a Latent Topic Model for Characteristic Extraction from Health Checkup Questionnaire Data." Methods of Information in Medicine 54, no. 06 (2015): 515–21. http://dx.doi.org/10.3414/me15-01-0023.
Повний текст джерелаLiu, Zheng, Chiyu Liu, Bin Xia, and Tao Li. "Multiple Relational Topic Modeling for Noisy Short Texts." International Journal of Software Engineering and Knowledge Engineering 28, no. 11n12 (November 2018): 1559–74. http://dx.doi.org/10.1142/s021819401840017x.
Повний текст джерелаHendrawan, Muhammad Yunus, and Nucke Widowati Kusumo Projo. "Topic Modelling in Knowledge Management Documents BPS Statistics Indonesia." Proceedings of The International Conference on Data Science and Official Statistics 2021, no. 1 (January 4, 2022): 119–30. http://dx.doi.org/10.34123/icdsos.v2021i1.52.
Повний текст джерелаWang, Jing, Mohit Bansal, Kevin Gimpel, Brian D. Ziebart, and Clement T. Yu. "A Sense-Topic Model for Word Sense Induction with Unsupervised Data Enrichment." Transactions of the Association for Computational Linguistics 3 (December 2015): 59–71. http://dx.doi.org/10.1162/tacl_a_00122.
Повний текст джерелаHong, Yuling, and Qishan Zhang. "Indicator Selection for Topic Popularity Definition Based on AHP and Deep Learning Models." Discrete Dynamics in Nature and Society 2020 (August 24, 2020): 1–11. http://dx.doi.org/10.1155/2020/9634308.
Повний текст джерелаWang Gao, Wang Gao, Baoping Yang Wang Gao, Yuwei Wang Baoping Yang, and Yuan Fang Yuwei Wang. "Depression Detection in Social Media using XLNet with Topic Distributions." 電腦學刊 33, no. 4 (August 2022): 095–106. http://dx.doi.org/10.53106/199115992022083304008.
Повний текст джерелаWang, Yiru, Pengda Si, Zeyang Lei, and Yujiu Yang. "Topic Enhanced Controllable CVAE for Dialogue Generation (Student Abstract)." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 10 (April 3, 2020): 13955–56. http://dx.doi.org/10.1609/aaai.v34i10.7250.
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