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Indexing by latent semantic analysis

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Cited by:

  1. Higham, Kyle & de Rassenfosse, Gaétan & Jaffe, Adam B., 2021. "Patent Quality: Towards a Systematic Framework for Analysis and Measurement," Research Policy, Elsevier, vol. 50(4).
  2. Elena Llorca-Asensi & Alexander Sánchez Díaz & Maria-Elena Fabregat-Cabrera & Raúl Ruiz-Callado, 2021. "“Why Can’t We?” Disinformation and Right to Self-Determination. The Catalan Conflict on Twitter," Social Sciences, MDPI, vol. 10(10), pages 1-23, October.
  3. Marco Rossetti & Fabio Stella & Markus Zanker, 2016. "Analyzing user reviews in tourism with topic models," Information Technology & Tourism, Springer, vol. 16(1), pages 5-21, March.
  4. Enna Hirata & Annette Skovsted Hansen, 2024. "Identifying Key Issues in Integration of Autonomous Ships in Container Ports: A Machine-Learning-Based Systematic Literature Review," Logistics, MDPI, vol. 8(1), pages 1-15, February.
  5. Gątkowski, Mateusz & Dietl, Marek & Skrok, Lukasz & Whalen, Ryan & Rockett, Katharine, 2018. "Patent Thickets Identification," Economics Discussion Papers 22928, University of Essex, Department of Economics.
  6. Swapnajit Chakraborti & Shubhamoy Dey, 2019. "Analysis of Competitor Intelligence in the Era of Big Data: An Integrated System Using Text Summarization Based on Global Optimization," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 61(3), pages 345-355, June.
  7. Francisco J. Valverde-Albacete & Carmen Peláez-Moreno, 2020. "The Singular Value Decomposition over Completed Idempotent Semifields," Mathematics, MDPI, vol. 8(9), pages 1-39, September.
  8. Wittek, Peter, 2013. "Two-way incremental seriation in the temporal domain with three-dimensional visualization: Making sense of evolving high-dimensional datasets," Computational Statistics & Data Analysis, Elsevier, vol. 66(C), pages 193-201.
  9. Alina Evstigneeva & Mark Sidorovskiy, 2021. "Assessment of Clarity of Bank of Russia Monetary Policy Communication by Neural Network Approach," Russian Journal of Money and Finance, Bank of Russia, vol. 80(3), pages 3-33, September.
  10. Irina Wedel & Michael Palk & Stefan Voß, 2022. "A Bilingual Comparison of Sentiment and Topics for a Product Event on Twitter," Information Systems Frontiers, Springer, vol. 24(5), pages 1635-1646, October.
  11. Beatrice Ferrario & Stefanie Stantcheva, 2022. "Eliciting People's First-Order Concerns: Text Analysis of Open-Ended Survey Questions," AEA Papers and Proceedings, American Economic Association, vol. 112, pages 163-169, May.
  12. Ioanna Kountouri & Eleftherios Manousakis & Andrianos E. Tsekrekos, 2019. "Latent semantic analysis of corporate social responsibility reports (with an application to Hellenic firms)," International Journal of Disclosure and Governance, Palgrave Macmillan, vol. 16(1), pages 1-19, March.
  13. Callan Windsor, 2021. "The Intellectual Ideas Inside Central Banks: What'S Changed (Or Not) Since The Crisis?," Journal of Economic Surveys, Wiley Blackwell, vol. 35(2), pages 539-565, April.
  14. Ren, Jie & Han, Yue & Genc, Yegin & Yeoh, William & Popovič, Aleš, 2021. "The boundary of crowdsourcing in the domain of creativity✰," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
  15. Roman Stutzer & Adrian Rinscheid & Thiago D. Oliveira & Pedro Mendes Loureiro & Aya Kachi & Mert Duygan, 2021. "Black coal, thin ice: the discursive legitimisation of Australian coal in the age of climate change," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-9, December.
  16. Arno de Caigny & Kristof Coussement & Koen W. de Bock & Stefan Lessmann, 2019. "Incorporating textual information in customer churn prediction models based on a convolutional neural network," Post-Print hal-02275958, HAL.
  17. Arango, Luis E. & Pantoja, Javier & Velásquez, Carlos, 2023. "A content analysis of the Central Bank's press releases in Colombia," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 4(3).
  18. Kohei Kawaguchi & Toshifumi Kuroda & Susumu Sato, 2021. "Merger Analysis in the App Economy: An Empirical Model of Ad-Sponsored Media," HKUST CEP Working Papers Series 202103, HKUST Center for Economic Policy.
  19. Shu Zhao & Dong Zhang & Zhen Duan & Jie Chen & Yan-ping Zhang & Jie Tang, 2018. "A novel classification method for paper-reviewer recommendation," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(3), pages 1293-1313, June.
  20. Jonathan H. Ashtor, 2019. "Investigating Cohort Similarity as an Ex Ante Alternative to Patent Forward Citations," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 16(4), pages 848-880, December.
  21. Pooja Kherwa & Poonam Bansal, 2021. "Semantic Pattern Detection in COVID-19 Using Contextual Clustering and Intelligent Topic Modeling," International Journal of E-Health and Medical Communications (IJEHMC), IGI Global, vol. 13(2), pages 1-17, July.
  22. Paola Cerchiello & Giancarlo Nicola, 2017. "Assessing News Contagion in Finance," DEM Working Papers Series 139, University of Pavia, Department of Economics and Management.
  23. Tom Magerman & Bart Looy & Xiaoyan Song, 2010. "Exploring the feasibility and accuracy of Latent Semantic Analysis based text mining techniques to detect similarity between patent documents and scientific publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(2), pages 289-306, February.
  24. Chengzhi Zhang & Lei Zhao & Mengyuan Zhao & Yingyi Zhang, 2022. "Enhancing keyphrase extraction from academic articles with their reference information," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(2), pages 703-731, February.
  25. Kei Nakagawa & Kohei Hayashi & Yugo Fujimoto, 2024. "CFTM: Continuous time fractional topic model," Papers 2402.01734, arXiv.org, revised Feb 2024.
  26. Monnez, Jean-Marie & Skiredj, Abderrahman, 2021. "Widening the scope of an eigenvector stochastic approximation process and application to streaming PCA and related methods," Journal of Multivariate Analysis, Elsevier, vol. 182(C).
  27. Kamal Sanguri & Atanu Bhuyan & Sabyasachi Patra, 2020. "A semantic similarity adjusted document co-citation analysis: a case of tourism supply chain," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 233-269, October.
  28. Saida Ishak Boushaki & Nadjet Kamel & Omar Bendjeghaba, 2018. "High-Dimensional Text Datasets Clustering Algorithm Based on Cuckoo Search and Latent Semantic Indexing," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 17(03), pages 1-24, September.
  29. Agha Mohammad Ali Kermani, Mehrdad & Fatemi Ardestani, Seyed Farshad & Aliahmadi, Alireza & Barzinpour, Farnaz, 2017. "A novel game theoretic approach for modeling competitive information diffusion in social networks with heterogeneous nodes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 466(C), pages 570-582.
  30. Sergey Nasekin & Cathy Yi-Hsuan Chen, 2020. "Deep learning-based cryptocurrency sentiment construction," Digital Finance, Springer, vol. 2(1), pages 39-67, September.
  31. N. Venkata Sailaja & L. Padma Sree & N. Mangathayaru, 2018. "New Rough Set-Aided Mechanism for Text Categorisation," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 17(02), pages 1-19, June.
  32. van Loon, Austin, 2022. "Three Families of Automated Text Analysis," SocArXiv htnej, Center for Open Science.
  33. Asad Abdi & Norisma Idris & Rasim M Alguliyev & Ramiz M Aliguliyev, 2016. "An Automated Summarization Assessment Algorithm for Identifying Summarizing Strategies," PLOS ONE, Public Library of Science, vol. 11(1), pages 1-34, January.
  34. Giovanna Maria Dora Dore, 2023. "A Natural Language Processing Analysis of Newspapers Coverage of Hong Kong Protests Between 1998 and 2020," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 169(1), pages 143-166, September.
  35. Lu Huang & Yijie Cai & Erdong Zhao & Shengting Zhang & Yue Shu & Jiao Fan, 2022. "Measuring the interdisciplinarity of Information and Library Science interactions using citation analysis and semantic analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6733-6761, November.
  36. Mingxi Zhang & Pohan Li & Wei Wang, 2017. "An index-based algorithm for fast on-line query processing of latent semantic analysis," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-23, May.
  37. Luis Pilacuan-Bonete & Purificación Galindo-Villardón & Francisco Delgado-Álvarez, 2022. "HJ-Biplot as a Tool to Give an Extra Analytical Boost for the Latent Dirichlet Assignment (LDA) Model: With an Application to Digital News Analysis about COVID-19," Mathematics, MDPI, vol. 10(14), pages 1-17, July.
  38. Kupiec-Teahan, Beata & Leat, Philip M.K. & Revoredo-Giha, Cesar, 2009. "Food production, distribution and culture: public views, interests and concerns," Working Papers 109391, Scotland's Rural College (formerly Scottish Agricultural College), Land Economy & Environment Research Group.
  39. Tobias Riasanow & Lea Jäntgen & Sebastian Hermes & Markus Böhm & Helmut Krcmar, 2021. "Core, intertwined, and ecosystem-specific clusters in platform ecosystems: analyzing similarities in the digital transformation of the automotive, blockchain, financial, insurance and IIoT industry," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(1), pages 89-104, March.
  40. Ke-Lin Du & M. N. S. Swamy & Zhang-Quan Wang & Wai Ho Mow, 2023. "Matrix Factorization Techniques in Machine Learning, Signal Processing, and Statistics," Mathematics, MDPI, vol. 11(12), pages 1-50, June.
  41. James E. Cicon & Stephen P. Ferris & Armin J. Kammel & Gregory Noronha, 2012. "European Corporate Governance: a Thematic Analysis of National Codes of Governance," European Financial Management, European Financial Management Association, vol. 18(4), pages 620-648, September.
  42. Mohammad Ubaidullah Bokhari & Mohd. Kashif Adhami & Afaq Ahmad, 2021. "Evaluation of News Search Engines Based On Information Retrieval Models," SN Operations Research Forum, Springer, vol. 2(3), pages 1-22, September.
  43. Mohammed Salem Binwahlan, 2023. "Polynomial Networks Model for Arabic Text Summarization," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 10(2), pages 74-84, February.
  44. Curci, Ylenia & Mongeau Ospina, Christian A., 2016. "Investigating biofuels through network analysis," Energy Policy, Elsevier, vol. 97(C), pages 60-72.
  45. Satoshi Nishida & Antione Blanc & Naoya Maeda & Masataka Kado & Shinji Nishimoto, 2021. "Behavioral correlates of cortical semantic representations modeled by word vectors," PLOS Computational Biology, Public Library of Science, vol. 17(6), pages 1-35, June.
  46. Tougas, Jane E. & Spiteri, Raymond J., 2007. "Updating the partial singular value decomposition in latent semantic indexing," Computational Statistics & Data Analysis, Elsevier, vol. 52(1), pages 174-183, September.
  47. James A. Danowski & Kenneth Riopelle, 2019. "Scaling constructs with semantic networks," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(5), pages 2671-2683, September.
  48. Jan Ketil Arnulf & Kai Rune Larsen & Øyvind Lund Martinsen, 2018. "Semantic algorithms can detect how media language shapes survey responses in organizational behaviour," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-26, December.
  49. Triss Ashton & Nicholas Evangelopoulos & Victor Prybutok, 2015. "Quantitative quality control from qualitative data: control charts with latent semantic analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(3), pages 1081-1099, May.
  50. Zhu, Mu & Ghodsi, Ali, 2006. "Automatic dimensionality selection from the scree plot via the use of profile likelihood," Computational Statistics & Data Analysis, Elsevier, vol. 51(2), pages 918-930, November.
  51. Philipp Tuertscher & Raghu Garud & Arun Kumaraswamy, 2014. "Justification and Interlaced Knowledge at ATLAS, CERN," Organization Science, INFORMS, vol. 25(6), pages 1579-1608, December.
  52. Ixandra Achitouv & Dragos Gorduza & Antoine Jacquier, 2023. "Natural Language Processing for Financial Regulation," Papers 2311.08533, arXiv.org.
  53. Roberto Parente & Rosangela Feola & Valentina Cucino & Gemma Catolino, 2015. "Visibility and Reputation of New Entrepreneurial Projects from Academia: the Role of Start-Up Competitions," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 6(3), pages 551-567, September.
  54. Wu, Cathy & Shivakumar, Sailaja & Lin, Hsu-Ping & Veldurti, Srinivas & Bhatikar, Yugesh, 1995. "Neural networks for molecular sequence classification," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 40(1), pages 23-33.
  55. D. Thorleuchter & D. Van Den Poel, 2012. "Improved Multilevel Security with Latent Semantic Indexing," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 12/811, Ghent University, Faculty of Economics and Business Administration.
  56. Michael Kai Petersen, 2015. "Latent Semantics of Action Verbs Reflect Phonetic Parameters of Intensity and Emotional Content," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-14, April.
  57. Rodet, Cortney S., 2022. "Does cognitive load affect creativity? An experiment using a divergent thinking task," Economics Letters, Elsevier, vol. 220(C).
  58. Bastian Schaefermeier & Gerd Stumme & Tom Hanika, 2021. "Topic space trajectories," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5759-5795, July.
  59. Yi Zhang & Xiaojing Cai & Caroline V. Fry & Mengjia Wu & Caroline S. Wagner, 2021. "Topic evolution, disruption and resilience in early COVID-19 research," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 4225-4253, May.
  60. Chao Wei & Senlin Luo & Xincheng Ma & Hao Ren & Ji Zhang & Limin Pan, 2016. "Locally Embedding Autoencoders: A Semi-Supervised Manifold Learning Approach of Document Representation," PLOS ONE, Public Library of Science, vol. 11(1), pages 1-20, January.
  61. Ying Wang & Peiwen Luo, 2022. "Exploring the Needs of Elderly Care in China from Family Caregivers’ Perspective via Machine Learning Approaches," Sustainability, MDPI, vol. 14(19), pages 1-14, September.
  62. Bastian Schäfermeier & Johannes Hirth & Tom Hanika, 2023. "Research topic flows in co-authorship networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(9), pages 5051-5078, September.
  63. Cho, Yung-Jan & Fu, Pei-Wen & Wu, Chi-Cheng, 2017. "Popular Research Topics in Marketing Journals, 1995–2014," Journal of Interactive Marketing, Elsevier, vol. 40(C), pages 52-72.
  64. Cristina Alexandrina Stefanescu, 2011. "Transparency And Disclosure In European Corporate Governance Codes – Does Issuer Matter?," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 6(1), pages 94-108, April.
  65. Kawamura, Kohei & Kobashi, Yohei & Shizume, Masato & Ueda, Kozo, 2019. "Strategic central bank communication: Discourse analysis of the Bank of Japan’s Monthly Report," Journal of Economic Dynamics and Control, Elsevier, vol. 100(C), pages 230-250.
  66. Hei-Chia Wang & Tzu-Ting Hsu & Yunita Sari, 2019. "Personal research idea recommendation using research trends and a hierarchical topic model," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1385-1406, December.
  67. Qiong Jia & Liyuan Wei & Xiaotong Li, 2019. "Visualizing Sustainability Research in Business and Management (1990–2019) and Emerging Topics: A Large-Scale Bibliometric Analysis," Sustainability, MDPI, vol. 11(20), pages 1-37, October.
  68. Beaupain, Renaud & Girard, Alexandre, 2020. "The value of understanding central bank communication," Economic Modelling, Elsevier, vol. 85(C), pages 154-165.
  69. Yongho Lee & So Young Kim & Inseok Song & Yongtae Park & Juneseuk Shin, 2014. "Technology opportunity identification customized to the technological capability of SMEs through two-stage patent analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(1), pages 227-244, July.
  70. Nicholas Evangelopoulos & S. Yasaman Amirkiaee, 2020. "Extracting LSA topics as features for text classifiers across different knowledge domains," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(1), pages 249-261, February.
  71. Mancuso, Raffaele & Rossi-Lamastra, Cristina & Franzoni, Chiara, 2023. "Topic choice, gendered language, and the under-funding of female scholars in mission-oriented research," Research Policy, Elsevier, vol. 52(6).
  72. Lüdering Jochen & Winker Peter, 2016. "Forward or Backward Looking? The Economic Discourse and the Observed Reality," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 236(4), pages 483-515, August.
  73. Triss Ashton & Nicholas Evangelopoulos & Victor Prybutok, 2014. "Extending monitoring methods to textual data: a research agenda," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(4), pages 2277-2294, July.
  74. Romero-Silva, Rodrigo & de Leeuw, Sander, 2021. "Learning from the past to shape the future: A comprehensive text mining analysis of OR/MS reviews," Omega, Elsevier, vol. 100(C).
  75. Xuan Wang & Bofeng Zhang & Furong Chang, 2019. "Hot Topic Community Discovery on Cross Social Networks," Future Internet, MDPI, vol. 11(3), pages 1-16, March.
  76. Christian Meier, 2015. "Identifying Output Interactions Among Is Projects - A Text Mining Approach," Working Papers Dissertations 20, Paderborn University, Faculty of Business Administration and Economics.
  77. Viergutz, Tim & Schulze-Ehlers, Birgit, 2018. "The use of hybrid scientometric clustering for systematic literature reviews in business and economics," DARE Discussion Papers 1804, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
  78. Ashtor, Jonathan H., 2022. "Modeling patent clarity," Research Policy, Elsevier, vol. 51(2).
  79. Chen, Long-Sheng & Liu, Cheng-Hsiang & Chiu, Hui-Ju, 2011. "A neural network based approach for sentiment classification in the blogosphere," Journal of Informetrics, Elsevier, vol. 5(2), pages 313-322.
  80. Hyun-Lim Yang & Tai-Woo Chang & Yerim Choi, 2018. "Exploring the Research Trend of Smart Factory with Topic Modeling," Sustainability, MDPI, vol. 10(8), pages 1-15, August.
  81. Anamaria Briciu & Alina-Delia Călin & Diana-Lucia Miholca & Cristiana Moroz-Dubenco & Vladiela Petrașcu & George Dascălu, 2024. "Machine-Learning-Based Approaches for Multi-Level Sentiment Analysis of Romanian Reviews," Mathematics, MDPI, vol. 12(3), pages 1-37, January.
  82. Alfio Ferrara & Silvia Salini, 2012. "Ten challenges in modeling bibliographic data for bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 765-785, December.
  83. Bergé, Laurent R. & Bouveyron, Charles & Corneli, Marco & Latouche, Pierre, 2019. "The latent topic block model for the co-clustering of textual interaction data," Computational Statistics & Data Analysis, Elsevier, vol. 137(C), pages 247-270.
  84. Yan Zhihua & Tang Xijin, 2020. "Exploring Evolution of Public Opinions on Tianya Club Using Dynamic Topic Models," Journal of Systems Science and Information, De Gruyter, vol. 8(4), pages 309-324, August.
  85. Hoppenbrouwers, J.J.A.C. & Paijmans, J.J., 2000. "Invading the fortress : How to beseige reinforced information bunkers," Other publications TiSEM 62e33d30-6377-48c8-9bdf-b, Tilburg University, School of Economics and Management.
  86. Yi-Yu Hsu & Hung-Yu Chen & Hung-Yu Kao, 2013. "Using a Search Engine-Based Mutually Reinforcing Approach to Assess the Semantic Relatedness of Biomedical Terms," PLOS ONE, Public Library of Science, vol. 8(11), pages 1-15, November.
  87. Olson, Alex & Calderon-Figueroa, Fernando & Bidian, Olimpia & Silver, Daniel & Sanner, Scott, 2020. "Reading the city through its neighbourhoods: Deep text embeddings of Yelp reviews as a basis for determining similarity and change," SocArXiv 8jbvg, Center for Open Science.
  88. Lucie Sperkova, 2018. "Review of Latent Dirichlet Allocation Methods Usable in Voice of Customer Analysis," Acta Informatica Pragensia, Prague University of Economics and Business, vol. 2018(2), pages 152-165.
  89. Francis Heylighen, 1999. "Collective Intelligence and its Implementation on the Web: Algorithms to Develop a Collective Mental Map," Computational and Mathematical Organization Theory, Springer, vol. 5(3), pages 253-280, October.
  90. Kargin, Vladislav, 2016. "On variation of word frequencies in Russian literary texts," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 445(C), pages 328-334.
  91. D. Thorleuchter & D. Van Den Poel, 2012. "Protecting Research and Technology from Espionage," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 12/824, Ghent University, Faculty of Economics and Business Administration.
  92. Ferhat D. Zengul & Nurettin Oner & James D. Byrd & Arline Savage, 2021. "Revealing Research Themes and Trends in 30 Top‐ranking Accounting Journals: A Text‐mining Approach," Abacus, Accounting Foundation, University of Sydney, vol. 57(3), pages 468-501, September.
  93. Xiaorui Jiang & Junjun Liu, 2023. "Extracting the evolutionary backbone of scientific domains: The semantic main path network analysis approach based on citation context analysis," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(5), pages 546-569, May.
  94. Yan, Dongyang & Li, Keping & Zhu, Qiaozhen & Liu, Yanyan, 2023. "A railway accident prevention method based on reinforcement learning – Active preventive strategy by multi-modal data," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
  95. Borchert, Philipp & Coussement, Kristof & De Caigny, Arno & De Weerdt, Jochen, 2023. "Extending business failure prediction models with textual website content using deep learning," European Journal of Operational Research, Elsevier, vol. 306(1), pages 348-357.
  96. Xiangguang Dai & Chuandong Li & Biqun Xiang, 2018. "Graph Sparse Nonnegative Matrix Factorization Algorithm Based on the Inertial Projection Neural Network," Complexity, Hindawi, vol. 2018, pages 1-12, March.
  97. Whalen, Ryan, 2018. "Boundary spanning innovation and the patent system: Interdisciplinary challenges for a specialized examination system," Research Policy, Elsevier, vol. 47(7), pages 1334-1343.
  98. Karina Gibert & Yaroslav Hernandez-Potiomkin, 2023. "A Unified Formal Framework for Factorial and Probabilistic Topic Modelling," Mathematics, MDPI, vol. 11(20), pages 1-27, October.
  99. Kwon, Heeyeul & Kim, Jieun & Park, Yongtae, 2017. "Applying LSA text mining technique in envisioning social impacts of emerging technologies: The case of drone technology," Technovation, Elsevier, vol. 60, pages 15-28.
  100. Marianne Bertrand & Matilde Bombardini & Raymond Fisman & Brad Hackinen & Francesco Trebbi, 2021. "Hall of Mirrors: Corporate Philanthropy and Strategic Advocacy," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 136(4), pages 2413-2465.
  101. Romain Gauchon & Stéphane Loisel & Jean-Louis Rullière, 2020. "Health-policyholder clustering using health consumption," Post-Print hal-02156058, HAL.
  102. Mortenson, Michael J. & Vidgen, Richard, 2016. "A computational literature review of the technology acceptance model," International Journal of Information Management, Elsevier, vol. 36(6), pages 1248-1259.
  103. Liang Guo & Shikun Li & Ruodan Lu & Lei Yin & Ariane Gorson-Deruel & Lawrence King, 2018. "The research topic landscape in the literature of social class and inequality," PLOS ONE, Public Library of Science, vol. 13(7), pages 1-19, July.
  104. Jie Chen & Jialin Chen & Shu Zhao & Yanping Zhang & Jie Tang, 2020. "Exploiting word embedding for heterogeneous topic model towards patent recommendation," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2091-2108, December.
  105. Gątkowski, Mateusz & Dietl, Marek & Skrok, Łukasz & Whalen, Ryan & Rockett, Katharine, 2020. "Semantically-based patent thicket identification," Research Policy, Elsevier, vol. 49(2).
  106. Tobias Koopmann & Maximilian Stubbemann & Matthias Kapa & Michael Paris & Guido Buenstorf & Tom Hanika & Andreas Hotho & Robert Jäschke & Gerd Stumme, 2021. "Proximity dimensions and the emergence of collaboration: a HypTrails study on German AI research," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(12), pages 9847-9868, December.
  107. Hiroaki Sugino & Tatsuya Sekiguchi & Yuuki Terada & Naoki Hayashi, 2023. "“Future Compass”, a Tool That Allows Us to See the Right Horizon—Integration of Topic Modeling and Multiple-Factor Analysis," Sustainability, MDPI, vol. 15(13), pages 1-20, June.
  108. Isao Sasano & Kei Morisawa & Yutaka Hirakawa, 2019. "Personalized spoiler detection in tweets by using support vector machine," Journal of Advances in Technology and Engineering Research, A/Professor Akbar A. Khatibi, vol. 5(5), pages 219-226.
  109. Ciprian-Octavian Truică & Elena-Simona Apostol & Jérôme Darmont & Ira Assent, 2021. "TextBenDS: a Generic Textual Data Benchmark for Distributed Systems," Information Systems Frontiers, Springer, vol. 23(1), pages 81-100, February.
  110. Johan de Rooi & Sarah K Nørgaard & Morten A Rasmussen & Klaus Bønnelykke & Hans Bisgaard & Age K Smilde, 2018. "Data representations and -analyses of binary diary data in pursuit of stratifying children based on common childhood illnesses," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-15, November.
  111. Han Liu & Ying Liu & Yonglian Wang & Changchun Pan, 2019. "Hot topics and emerging trends in tourism forecasting research: A scientometric review," Tourism Economics, , vol. 25(3), pages 448-468, May.
  112. Irina Evgenievna Kalabikhina & Evgeniy Petrovich Banin & Imiliya Abduselimovna Abduselimova & German Andreevich Klimenko & Anton Vasilyevich Kolotusha, 2021. "The Measurement of Demographic Temperature Using the Sentiment Analysis of Data from the Social Network VKontakte," Mathematics, MDPI, vol. 9(9), pages 1-25, April.
  113. Fedelucio Narducci & Cataldo Musto & Marco Gemmis & Pasquale Lops & Giovanni Semeraro, 2018. "TV-Program Retrieval and Classification: A Comparison of Approaches based on Machine Learning," Information Systems Frontiers, Springer, vol. 20(6), pages 1157-1171, December.
  114. D. Thorleuchter & D. Van Den Poel, 2013. "Weak Signal Identification with Semantic Web Mining," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 13/860, Ghent University, Faculty of Economics and Business Administration.
  115. Qingqiang Wu & Yichen Kuang & Qingqi Hong & Yingying She, 2019. "Frontier knowledge discovery and visualization in cancer field based on KOS and LDA," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 979-1010, March.
  116. Berk Wheelock, Lauren & Pachamanova, Dessislava A., 2022. "Acceptable set topic modeling," European Journal of Operational Research, Elsevier, vol. 299(2), pages 653-673.
  117. Saskia Ter Ellen & Vegard H. Larsen & Leif Anders Thorsrud, 2022. "Narrative Monetary Policy Surprises and the Media," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(5), pages 1525-1549, August.
  118. Shen, Cencheng & Sun, Ming & Tang, Minh & Priebe, Carey E., 2014. "Generalized canonical correlation analysis for classification," Journal of Multivariate Analysis, Elsevier, vol. 130(C), pages 310-322.
  119. Ahmad, Shimi Naurin & Laroche, Michel, 2017. "Analyzing electronic word of mouth: A social commerce construct," International Journal of Information Management, Elsevier, vol. 37(3), pages 202-213.
  120. David A. Broniatowski, 2018. "Building the tower without climbing it: Progress in engineering systems," Systems Engineering, John Wiley & Sons, vol. 21(3), pages 259-281, May.
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