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topicmodels: An R Package for Fitting Topic Models

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Cited by:

  1. Oscar Calvo-Gonz'alez & Axel Eizmendi & Germ'an Reyes, 2022. "The Shifting Attention of Political Leaders: Evidence from Two Centuries of Presidential Speeches," Papers 2209.00540, arXiv.org, revised Jun 2023.
  2. Polyzos, Efstathios & Wang, Fang, 2022. "Twitter and market efficiency in energy markets: Evidence using LDA clustered topic extraction," Energy Economics, Elsevier, vol. 114(C).
  3. Sandra Wankmüller, 2023. "A comparison of approaches for imbalanced classification problems in the context of retrieving relevant documents for an analysis," Journal of Computational Social Science, Springer, vol. 6(1), pages 91-163, April.
  4. Maximilian Andres & Lisa Bruttel & Jana Friedrichsen, 2020. "Choosing between explicit cartel formation and tacit collusion – An experiment," CEPA Discussion Papers 19, Center for Economic Policy Analysis.
  5. Hakyeon Lee & Hanbin Seo & Youngjung Geum, 2018. "Uncovering the Topic Landscape of Product-Service System Research: from Sustainability to Value Creation," Sustainability, MDPI, vol. 10(4), pages 1-15, March.
  6. Chyi-Kwei Yau & Alan Porter & Nils Newman & Arho Suominen, 2014. "Clustering scientific documents with topic modeling," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(3), pages 767-786, September.
  7. Cristina Oliveira & Paulo Rita & Sérgio Moro, 2021. "Unveiling Island Tourism in Cape Verde through Online Reviews," Sustainability, MDPI, vol. 13(15), pages 1-14, July.
  8. Sabrina L. Woltmann & Lars Alkærsig, 2018. "Tracing university–industry knowledge transfer through a text mining approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 449-472, October.
  9. Charlie Lindgren & Asif M. Huq & Kenneth Carling, 2021. "Who Are the Intended Users of CSR Reports? Insights from a Data-Driven Approach," Sustainability, MDPI, vol. 13(3), pages 1-20, January.
  10. 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.
  11. Takuya Sekiguchi, 2019. "Preferences over procedures and outcomes in judgment aggregation: an experimental study," Theory and Decision, Springer, vol. 86(2), pages 239-258, March.
  12. Christian WEISMAYER, 2022. "Applied Research in Quality of Life: A Computational Literature Review," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 17(3), pages 1433-1458, June.
  13. Palese, B. & Usai, A., 2018. "The relative importance of service quality dimensions in E-commerce experiences," International Journal of Information Management, Elsevier, vol. 40(C), pages 132-140.
  14. Ghlamallah, Ezzedine & Alexakis, Christos & Dowling, Michael & Piepenbrink, Anke, 2021. "The topics of Islamic economics and finance research," International Review of Economics & Finance, Elsevier, vol. 75(C), pages 145-160.
  15. Cloarec, Julien & Cadieu, Charlotte & Alrabie, Nour, 2024. "Tracking technologies in eHealth: Revisiting the personalization-privacy paradox through the transparency-control framework," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
  16. 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.
  17. Arsenyan, Jbid & Mirowska, Agata & Piepenbrink, Anke, 2023. "Close encounters with the virtual kind: Defining a human-virtual agent coexistence framework," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
  18. 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.
  19. Kun Sun & Haitao Liu & Wenxin Xiong, 2021. "The evolutionary pattern of language in scientific writings: A case study of Philosophical Transactions of Royal Society (1665–1869)," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1695-1724, February.
  20. Qi Wang & Tobias Jeppsson, 2022. "Identifying benchmark units for research management and evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7557-7574, December.
  21. Yoshi Fujiwara & Rubaiyat Islam, 2021. "Bitcoin's Crypto Flow Network," Papers 2106.11446, arXiv.org, revised Jul 2021.
  22. Cristina Páez-Avilés & Frank J. Rijnsoever & Esteve Juanola-Feliu & Josep Samitier, 2018. "Multi-disciplinarity breeds diversity: the influence of innovation project characteristics on diversity creation in nanotechnology," The Journal of Technology Transfer, Springer, vol. 43(2), pages 458-481, April.
  23. Harald Hruschka, 2021. "Comparing unsupervised probabilistic machine learning methods for market basket analysis," Review of Managerial Science, Springer, vol. 15(2), pages 497-527, February.
  24. Warut Khern-am-nuai & Karthik Kannan & Hossein Ghasemkhani, 2018. "Extrinsic versus Intrinsic Rewards for Contributing Reviews in an Online Platform," Information Systems Research, INFORMS, vol. 29(4), pages 871-892, December.
  25. Jiang, Hanchen & Qiang, Maoshan & Lin, Peng, 2016. "A topic modeling based bibliometric exploration of hydropower research," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 226-237.
  26. Sumeet Sahay & Hemant Kumar Kaushik & Shikha Singh, 2023. "Discovering themes and trends in electricity supply chain area research," OPSEARCH, Springer;Operational Research Society of India, vol. 60(3), pages 1525-1560, September.
  27. Davit Khachatryan & Brigitte Muehlmann, 2020. "Measuring the drafting alignment of patent documents using text mining," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-20, July.
  28. Keogh Gerard, 2019. "A Lexical Approach to Estimating Environmental Goods and Services Output in the Construction Sector via Soft Classification of Enterprise Activity Descriptions Using Latent Dirichlet Allocation," Journal of Official Statistics, Sciendo, vol. 35(3), pages 625-651, September.
  29. Andres, Maximilian & Bruttel, Lisa & Friedrichsen, Jana, 2023. "How communication makes the difference between a cartel and tacit collusion: A machine learning approach," European Economic Review, Elsevier, vol. 152(C).
  30. 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.
  31. Hong Joo Lee & Hoyeon Oh, 2020. "A Study on the Deduction and Diffusion of Promising Artificial Intelligence Technology for Sustainable Industrial Development," Sustainability, MDPI, vol. 12(14), pages 1-15, July.
  32. Ryan Light & jimi adams, 2016. "Knowledge in motion: the evolution of HIV/AIDS research," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1227-1248, June.
  33. Silvia Peracchi, 2022. "The Migration Crisis in the Local News: Evidence from the French-Italian Border," CESifo Working Paper Series 10070, CESifo.
  34. Perico Ortiz, Daniel & Schnaubelt, Matthias & Seifert, Oleg, 2023. "A topic modeling perspective on investor uncertainty," FAU Discussion Papers in Economics 04/2023, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
  35. Danila Azzolina & Paola Berchialla & Dario Gregori & Ileana Baldi, 2021. "Prior Elicitation for Use in Clinical Trial Design and Analysis: A Literature Review," IJERPH, MDPI, vol. 18(4), pages 1-21, February.
  36. Javier De la Hoz-M & Mª José Fernández-Gómez & Susana Mendes, 2021. "LDAShiny: An R Package for Exploratory Review of Scientific Literature Based on a Bayesian Probabilistic Model and Machine Learning Tools," Mathematics, MDPI, vol. 9(14), pages 1-21, July.
  37. Ning Zhong & David A. Schweidel, 2020. "Capturing Changes in Social Media Content: A Multiple Latent Changepoint Topic Model," Marketing Science, INFORMS, vol. 39(4), pages 827-846, July.
  38. Debnath, Ramit & Bardhan, Ronita & Reiner, David M. & Miller, J.R., 2021. "Political, economic, social, technological, legal and environmental dimensions of electric vehicle adoption in the United States: A social-media interaction analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
  39. Maksym Polyakov & Morteza Chalak & Md. Sayed Iftekhar & Ram Pandit & Sorada Tapsuwan & Fan Zhang & Chunbo Ma, 2018. "Authorship, Collaboration, Topics, and Research Gaps in Environmental and Resource Economics 1991–2015," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 71(1), pages 217-239, September.
  40. Frank M. Schneider & Emese Domahidi & Felix Dietrich, 2020. "What Is Important When We Evaluate Movies? Insights from Computational Analysis of Online Reviews," Media and Communication, Cogitatio Press, vol. 8(3), pages 153-163.
  41. Stefano Sbalchiero & Maciej Eder, 2020. "Topic modeling, long texts and the best number of topics. Some Problems and solutions," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(4), pages 1095-1108, August.
  42. Sanders, James & Lisi, Giulio & Schonhardt-Bailey, Cheryl, 2018. "Themes and topics in parliamentary oversight hearings: a new direction in textual data analysis," LSE Research Online Documents on Economics 87624, London School of Economics and Political Science, LSE Library.
  43. Martin Baumgaertner & Johannes Zahner, 2021. "Whatever it takes to understand a central banker - Embedding their words using neural networks," MAGKS Papers on Economics 202130, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
  44. Blasco-Arcas, Lorena & Lee, Hsin-Hsuan Meg & Kastanakis, Minas N. & Alcañiz, Mariano & Reyes-Menendez, Ana, 2022. "The role of consumer data in marketing: A research agenda," Journal of Business Research, Elsevier, vol. 146(C), pages 436-452.
  45. Kerstin K. Zander & Hunter S. Baggen & Stephen T. Garnett, 2023. "Topic modelling the mobility response to heat and drought," Climatic Change, Springer, vol. 176(4), pages 1-20, April.
  46. Kerstin K. Zander & Stephen T. Garnett & Harald Sterly & Sonja Ayeb-Karlsson & Barbora Šedová & Hermann Lotze-Campen & Carmen Richerzhagen & Hunter S. Baggen, 2022. "Topic modelling exposes disciplinary divergence in research on the nexus between human mobility and the environment," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-9, December.
  47. Imran Ali & Devika Kannan, 2022. "Mapping research on healthcare operations and supply chain management: a topic modelling-based literature review," Annals of Operations Research, Springer, vol. 315(1), pages 29-55, August.
  48. Nicolas Jouvin & Pierre Latouche & Charles Bouveyron & Guillaume Bataillon & Alain Livartowski, 2021. "Greedy clustering of count data through a mixture of multinomial PCA," Computational Statistics, Springer, vol. 36(1), pages 1-33, March.
  49. Arina Wischnewsky & David‐Jan Jansen & Matthias Neuenkirch, 2021. "Financial stability and the Fed: Evidence from congressional hearings," Economic Inquiry, Western Economic Association International, vol. 59(3), pages 1192-1214, July.
  50. Abhinav Khare & Qing He & Rajan Batta, 2020. "Predicting gasoline shortage during disasters using social media," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(3), pages 693-726, September.
  51. Daniel Perico Ortiz, 2023. "Economic policy statements, social media, and stock market uncertainty: An analysis of Donald Trump’s tweets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 47(2), pages 333-367, June.
  52. Cecilia Elizabeth Bayas Aldaz & Jesus Rodriguez-Pomeda & Leyla Angélica Sandoval Hamón & Fernando Casani, 2020. "Understanding the University-Sustainability Link through Media: A Spanish Perspective," Sustainability, MDPI, vol. 12(12), pages 1-15, June.
  53. Adel Daoud & Sebastian Kohl, 2015. "Is there a New Economic Sociology Effect? A Topic Model on the Economic Orientation of Sociology, 1890 to 2014," Working Papers 1520, New School for Social Research, Department of Economics.
  54. Sarah Kaplan & Keyvan Vakili, 2015. "The double-edged sword of recombination in breakthrough innovation," Strategic Management Journal, Wiley Blackwell, vol. 36(10), pages 1435-1457, October.
  55. Ajishnu Roy & Aman Basu & Yanyu Su & Yan Li & Xuhui Dong, 2022. "Understanding Recent Trends in Global Sustainable Development Goal 6 Research: Scientometric, Text Mining and an Improved Framework for Future Research," Sustainability, MDPI, vol. 14(4), pages 1-23, February.
  56. Prithwiraj Mukherjee & Souvik Dutta & Arnaud De Bruyn, 2022. "Did clickbait crack the code on virality?," Journal of the Academy of Marketing Science, Springer, vol. 50(3), pages 482-502, May.
  57. Arina Wischnewsky & David‐Jan Jansen & Matthias Neuenkirch, 2021. "Financial stability and the Fed: Evidence from congressional hearings," Economic Inquiry, Western Economic Association International, vol. 59(3), pages 1192-1214, July.
  58. Pietsch, Andra-Selina & Lessmann, Stefan, 2018. "Topic Modeling for Analyzing Open-Ended Survey Responses," IRTG 1792 Discussion Papers 2018-054, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
  59. Daoud, Adel & Kohl, Sebastian, 2016. "How much do sociologists write about economic topics? Using big data to test some conventional views in economic sociology, 1890 to 2014," MPIfG Discussion Paper 16/7, Max Planck Institute for the Study of Societies.
  60. Cardinale, Roberto & Cardinale, Ivano & Zupic, Ivan, 2024. "The EU's vulnerability to gas price and supply shocks: The role of mismatches between policy beliefs and changing international gas markets," Energy Economics, Elsevier, vol. 131(C).
  61. Shr-Wei Kao & Pin Luarn, 2020. "Topic Modeling Analysis of Social Enterprises: Twitter Evidence," Sustainability, MDPI, vol. 12(8), pages 1-20, April.
  62. Francesca De Battisti & Alfio Ferrara & Silvia Salini, 2015. "A decade of research in statistics: a topic model approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 413-433, May.
  63. Ramit Debnath & Ronita Bardhan, 2020. "India nudges to contain COVID-19 pandemic: A reactive public policy analysis using machine-learning based topic modelling," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-25, September.
  64. Charemza, Wojciech & Makarova, Svetlana & Rybiński, Krzysztof, 2022. "Economic uncertainty and natural language processing; The case of Russia," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 546-562.
  65. Jonas Rieger, 2019. "Mónica Bécue-Bertaut (2019): Textual Data Science with R," Statistical Papers, Springer, vol. 60(5), pages 1797-1798, October.
  66. Motta Queiroz, Mariza & Roque, Carlos & Moura, Filipe & Marôco, João, 2024. "Understanding the expectations of parents regarding their children's school commuting by public transport using latent Dirichlet Allocation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 181(C).
  67. Benjamin Bagozzi, 2015. "The multifaceted nature of global climate change negotiations," The Review of International Organizations, Springer, vol. 10(4), pages 439-464, December.
  68. Hakyeon Lee & Pilsung Kang, 2018. "Identifying core topics in technology and innovation management studies: a topic model approach," The Journal of Technology Transfer, Springer, vol. 43(5), pages 1291-1317, October.
  69. Sanders James & Lisi Giulio & Schonhardt-Bailey Cheryl, 2017. "Themes and Topics in Parliamentary Oversight Hearings: A New Direction in Textual Data Analysis," Statistics, Politics and Policy, De Gruyter, vol. 8(2), pages 153-194, December.
  70. Savin, Ivan & Ott, Ingrid & Konop, Chris, 2022. "Tracing the evolution of service robotics: Insights from a topic modeling approach," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
  71. Arenas Gaitán, Jorge & Ramírez-Correa, Patricio E., 2023. "COVID-19 and telemedicine: A netnography approach," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
  72. Arzu Tugce Guler & Cathelijn J. F. Waaijer & Magnus Palmblad, 2016. "Scientific workflows for bibliometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 385-398, May.
  73. Garner, Benjamin & Thornton, Corliss & Luo Pawluk, Anita & Mora Cortez, Roberto & Johnston, Wesley & Ayala, Cesar, 2022. "Utilizing text-mining to explore consumer happiness within tourism destinations," Journal of Business Research, Elsevier, vol. 139(C), pages 1366-1377.
  74. Jingyuan Yu & Yanqin Lu & Juan Muñoz-Justicia, 2020. "Analyzing Spanish News Frames on Twitter during COVID-19—A Network Study of El País and El Mundo," IJERPH, MDPI, vol. 17(15), pages 1-12, July.
  75. Justyna Klejdysz & Robin L. Lumsdaine, 2023. "Shifts in ECB Communication: A Textual Analysis of the Press Conference," International Journal of Central Banking, International Journal of Central Banking, vol. 19(2), pages 473-542, June.
  76. Prithwiraj Choudhury & Dan Wang & Natalie A. Carlson & Tarun Khanna, 2019. "Machine learning approaches to facial and text analysis: Discovering CEO oral communication styles," Strategic Management Journal, Wiley Blackwell, vol. 40(11), pages 1705-1732, November.
  77. Martin Reisenbichler & Thomas Reutterer, 2019. "Topic modeling in marketing: recent advances and research opportunities," Journal of Business Economics, Springer, vol. 89(3), pages 327-356, April.
  78. Wang, Jason & Weiss, Robert E., 2022. "Local and global topics in text modeling of web pages nested in web sites," Computational Statistics & Data Analysis, Elsevier, vol. 173(C).
  79. João Guerreiro & Paulo Rita & Duarte Trigueiros, 2016. "A Text Mining-Based Review of Cause-Related Marketing Literature," Journal of Business Ethics, Springer, vol. 139(1), pages 111-128, November.
  80. Karime Montes Escobar & José Luis Vicente-Villardon & Javier de la Hoz-M & Lelly María Useche-Castro & Daniel Fabricio Alarcón Cano & Aline Siteneski, 2021. "Frequency of Neuroendocrine Tumor Studies: Using Latent Dirichlet Allocation and HJ-Biplot Statistical Methods," Mathematics, MDPI, vol. 9(18), pages 1-15, September.
  81. Jong Gyu Park & Kijung Park & Heena Noh & Yong Geun Kim, 2023. "Characterization of CSR, ESG, and Corporate Citizenship through a Text Mining-Based Review of Literature," Sustainability, MDPI, vol. 15(5), pages 1-12, February.
  82. Kaushik, Vineet & Tewari, Shobha & Sahasranamam, Sreevas & Hota, Pradeep Kumar, 2023. "Towards a precise understanding of social entrepreneurship: An integrated bibliometric–machine learning based review and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
  83. Hsia-Ching Chang, 2016. "The Synergy of Scientometric Analysis and Knowledge Mapping with Topic Models: Modelling the Development Trajectories of Information Security and Cyber-Security Research," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 15(04), pages 1-33, December.
  84. Terhorst, Andrew & Garrard, Robert, 2022. "How unified is the Australian agricultural sector when talking to policy makers about digitalization?," SocArXiv 4nge5, Center for Open Science.
  85. Monica Mihaela Maer-Matei & Cristina Mocanu & Ana-Maria Zamfir & Tiberiu Marian Georgescu, 2019. "Skill Needs for Early Career Researchers—A Text Mining Approach," Sustainability, MDPI, vol. 11(10), pages 1-17, May.
  86. Richard Hanania, 2021. "The Humanitarian Turn at the UNSC: Explaining the development of international norms through machine learning algorithms," Journal of Peace Research, Peace Research Institute Oslo, vol. 58(4), pages 655-670, July.
  87. Ulrich Fritsche & Johannes Puckelwald, 2018. "Deciphering Professional Forecasters’ Stories - Analyzing a Corpus of Textual Predictions for the German Economy," Macroeconomics and Finance Series 201804, University of Hamburg, Department of Socioeconomics.
  88. Vyshnevskyi, Iegor & Jombo, Wytone & Sohn, Wook, 2024. "The clarity of monetary policy communication and financial market volatility in developing economies," Emerging Markets Review, Elsevier, vol. 59(C).
  89. Andres, Maximilian & Bruttel, Lisa & Friedrichsen, Jana, 2021. "How do sanctions work? The choice between cartel formation and tacit collusion," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242372, Verein für Socialpolitik / German Economic Association.
  90. Anik, Md Asif Hasan & Sadeek, Soumik Nafis & Hossain, Moinul & Kabir, Shafquat, 2020. "A framework for involving the young generation in transportation planning using social media and crowd sourcing," Transport Policy, Elsevier, vol. 97(C), pages 1-18.
  91. Lehotský, Lukáš & Černoch, Filip & Osička, Jan & Ocelík, Petr, 2019. "When climate change is missing: Media discourse on coal mining in the Czech Republic," Energy Policy, Elsevier, vol. 129(C), pages 774-786.
  92. 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.
  93. Luong, Van Ha & Tarquini, Annalisa & Anadol, Yaprak & Klaus, Phil & Manthiou, Aikaterini, 2024. "Is digital fashion the future of the metaverse? Insights from YouTube comments," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
  94. Donghyun Choi & Bomi Song, 2018. "Exploring Technological Trends in Logistics: Topic Modeling-Based Patent Analysis," Sustainability, MDPI, vol. 10(8), pages 1-26, August.
  95. Lino Wehrheim, 2019. "Economic history goes digital: topic modeling the Journal of Economic History," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 13(1), pages 83-125, January.
  96. Schröder, Nadine & Falke, Andreas & Hruschka, Harald & Reutterer, Thomas, 2019. "Analyzing the Browsing Basket: A Latent Interests-Based Segmentation Tool," Journal of Interactive Marketing, Elsevier, vol. 47(C), pages 181-197.
  97. Jip Leendertse & Frank J. van Rijnsoever & Chris P. Eveleens, 2021. "The sustainable start‐up paradox: Predicting the business and climate performance of start‐ups," Business Strategy and the Environment, Wiley Blackwell, vol. 30(2), pages 1019-1036, February.
  98. Eric A Jensen & Paul Wong & Mark S Reed, 2022. "How research data deliver non-academic impacts: A secondary analysis of UK Research Excellence Framework impact case studies," PLOS ONE, Public Library of Science, vol. 17(3), pages 1-12, March.
  99. Marco Guerzoni & Massimiliano Nuccio & Federico Tamagni, 2022. "Discovering pre-entry knowledge complexity with patent topic modeling and the post-entry growth of Italian firms," LEM Papers Series 2022/25, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  100. Doblinger, Claudia & Surana, Kavita & Li, Deyu & Hultman, Nathan & Anadón, Laura Díaz, 2022. "How do global manufacturing shifts affect long-term clean energy innovation? A study of wind energy suppliers," Research Policy, Elsevier, vol. 51(7).
  101. Yanto Chandra & Li Crystal Jiang & Cheng-Jun Wang, 2016. "Mining Social Entrepreneurship Strategies Using Topic Modeling," PLOS ONE, Public Library of Science, vol. 11(3), pages 1-28, March.
  102. Cao Xiaorui & Lu Ruodan & Guo Liang & Liu Jianya, 2021. "Construction health and safety: A topic landscape study," Organization, Technology and Management in Construction, Sciendo, vol. 13(2), pages 2472-2483, July.
  103. Rowe, Francisco & Mahony, Michael & Graells-Garrido, Eduardo & Rango, Marzia & Sievers, Niklas, 2021. "Using Twitter to Track Immigration Sentiment During Early Stages of the COVID-19 Pandemic," SocArXiv pc3za, Center for Open Science.
  104. Lüdering, Jochen & Tillmann, Peter, 2020. "Monetary policy on twitter and asset prices: Evidence from computational text analysis," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
  105. Won Sang Lee & So Young Sohn, 2017. "Identifying Emerging Trends of Financial Business Method Patents," Sustainability, MDPI, vol. 9(9), pages 1-21, September.
  106. Christian Weismayer & Ilona Pezenka, 2017. "Identifying emerging research fields: a longitudinal latent semantic keyword analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1757-1785, December.
  107. Anke Piepenbrink & Elkin Nurmammadov, 2015. "Topics in the literature of transition economies and emerging markets," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2107-2130, March.
  108. Hudson Golino & Alexander P. Christensen & Robert Moulder & Seohyun Kim & Steven M. Boker, 2022. "Modeling Latent Topics in Social Media using Dynamic Exploratory Graph Analysis: The Case of the Right-wing and Left-wing Trolls in the 2016 US Elections," Psychometrika, Springer;The Psychometric Society, vol. 87(1), pages 156-187, March.
  109. Sun, Katherine Qianwen & Slepian, Michael L., 2020. "The conversations we seek to avoid," Organizational Behavior and Human Decision Processes, Elsevier, vol. 160(C), pages 87-105.
  110. Holand, Øystein & Contiero, Barbara & Næss, Marius W. & Cozzi, Giulio, 2024. "“The Times They Are A-Changin' “ – research trends and perspectives of reindeer pastoralism – A review using text mining and topic modelling," Land Use Policy, Elsevier, vol. 136(C).
  111. Buenstorf, Guido & Heinisch, Dominik P., 2020. "When do firms get ideas from hiring PhDs?," Research Policy, Elsevier, vol. 49(3).
  112. Polewsky, Max & Hankammer, Stephan & Kleer, Robin & Antons, David, 2024. "Degrowth vs. Green Growth. A computational review and interdisciplinary research agenda," Ecological Economics, Elsevier, vol. 217(C).
  113. Lee, Won Sang & Han, Eun Jin & Sohn, So Young, 2015. "Predicting the pattern of technology convergence using big-data technology on large-scale triadic patents," Technological Forecasting and Social Change, Elsevier, vol. 100(C), pages 317-329.
  114. Luo, Shuli & He, Sylvia Y., 2021. "Understanding gender difference in perceptions toward transit services across space and time: A social media mining approach," Transport Policy, Elsevier, vol. 111(C), pages 63-73.
  115. Fabrizio Natale & Gianluca Fiore & Johann Hofherr, 2012. "Mapping the research on aquaculture. A bibliometric analysis of aquaculture literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(3), pages 983-999, March.
  116. Ozgun, Burcu & Broekel, Tom, 2021. "The geography of innovation and technology news - An empirical study of the German news media," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
  117. Rieger, Jonas & von Nordheim, Gerret, 2021. "corona100d: German-language Twitter dataset of the first 100 days after Chancellor Merkel addressed the coronavirus outbreak on TV," DoCMA Working Papers 4, TU Dortmund University, Dortmund Center for Data-based Media Analysis (DoCMA).
  118. Seongyoun Hong & Taejung Park & Jaewon Choi, 2020. "Analyzing Research Trends in University Student Experience Based on Topic Modeling," Sustainability, MDPI, vol. 12(9), pages 1-11, April.
  119. Jia Liu & Olivier Toubia, 2018. "A Semantic Approach for Estimating Consumer Content Preferences from Online Search Queries," Marketing Science, INFORMS, vol. 37(6), pages 930-952, November.
  120. Andrea Häuptli & Daniel Vogler, 2024. "Assessing the leeway of state-led strategic communication abroad: a comparison of news coverage on Austria, Germany, and Switzerland in Arabic," Place Branding and Public Diplomacy, Palgrave Macmillan, vol. 20(1), pages 12-23, March.
  121. Shawn Mankad & George Michailidis & Andrei Kirilenko, 2019. "On the formation of Dodd-Frank Act derivatives regulations," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-19, March.
  122. Hruschka, Harald, 2016. "Hidden Variable Models for Market Basket Data. Statistical Performance and Managerial Implications," University of Regensburg Working Papers in Business, Economics and Management Information Systems 489, University of Regensburg, Department of Economics.
  123. Anita Mendiratta & Shveta Singh & Surendra Singh Yadav & Arvind Mahajan, 2023. "Bibliometric and Topic Modeling Analysis of Corporate Social Irresponsibility," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(3), pages 319-339, September.
  124. Eric. W. K. See-To & Yang Yang, 2017. "Market sentiment dispersion and its effects on stock return and volatility," Electronic Markets, Springer;IIM University of St. Gallen, vol. 27(3), pages 283-296, August.
  125. Amon, Julian & Hornik, Kurt, 2022. "Is it all bafflegab? – Linguistic and meta characteristics of research articles in prestigious economics journals," Journal of Informetrics, Elsevier, vol. 16(2).
  126. Junseok Lee & Ji-Ho Kang & Sunghae Jun & Hyunwoong Lim & Dongsik Jang & Sangsung Park, 2018. "Ensemble Modeling for Sustainable Technology Transfer," Sustainability, MDPI, vol. 10(7), pages 1-15, July.
  127. Müller, Henrik & Rieger, Jonas & Hornig, Nico, 2021. ""We're rolling". Our Uncertainty Perception Indicator (UPI) in Q4 2020: introducing RollingLDA, a new method for the measurement of evolving economic narratives," DoCMA Working Papers 6, TU Dortmund University, Dortmund Center for Data-based Media Analysis (DoCMA).
  128. N. Nima Haghighi & Xiaoyue Cathy Liu & Ran Wei & Wenwen Li & Hu Shao, 2018. "Using Twitter data for transit performance assessment: a framework for evaluating transit riders’ opinions about quality of service," Public Transport, Springer, vol. 10(2), pages 363-377, August.
  129. Karime Montes-Escobar & Javier De la Hoz-M & Mónica Daniela Barreiro-Linzán & Carolina Fonseca-Restrepo & Miguel Ángel Lapo-Palacios & Douglas Andrés Verduga-Alcívar & Carlos Alfredo Salas-Macias, 2023. "Trends in Agroforestry Research from 1993 to 2022: A Topic Model Using Latent Dirichlet Allocation and HJ-Biplot," Mathematics, MDPI, vol. 11(10), pages 1-15, May.
  130. Hansin Bilgili & Chwen Sheu, 2022. "A Bibliometric Review of the Mathematics Journal," Mathematics, MDPI, vol. 10(15), pages 1-17, July.
  131. Silvia Peracchi, 2023. "Migration Crisis in the Local News: Evidence from the French-Italian Border," LIDAM Discussion Papers IRES 2023021, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
  132. Horst Treiblmaier & Patrick Mair, 2021. "Textual Data Science for Logistics and Supply Chain Management," Logistics, MDPI, vol. 5(3), pages 1-15, August.
  133. Andreas Falke & Harald Hruschka, 2022. "Analyzing browsing across websites by machine learning methods," Journal of Business Economics, Springer, vol. 92(5), pages 829-852, July.
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