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WordMap: Text Mining Application of Enhanced Corpus Segmentation and Semantic Topic Recognition
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WordMap: Text Mining Application of Enhanced Corpus Segmentation and Semantic Topic Recognition (2025)WordMap: Text Mining Application of Enhan…Analyzing genderless fashion trends of consumers’ perceptions on social media: using unstructured big data analysis through Latent Dirichlet Allocation-based topic modeling (2022)Analyzing genderless fashion …The application of text mining methods in innovation research: current state, evolution patterns, and development priorities (2020)The application of text minin…When to use and how to report the results of PLS-SEM (2018)When to use and how to report…Current Approaches for Assessing Convergent and Discriminant Validity with SEM: Issues and Solutions (2017)Current Approaches for Assess…An Empirical Comparison of Four Text Mining Methods (2010)An Empirical Comparison of Fo…User Acceptance of Information Technology: Toward A Unified View1 (2003)User Acceptance of Informatio…More Than Words: Quantifying Language to Measure Firms' Fundamentals (2008)The SAGE Handbook of Online Research Methods (2016)Applying LSA text mining technique in envisioning social impacts of emerging technologies: The case of drone technology (2017)Voice of airline passenger: A text mining approach to understand customer satisfaction (2019)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)The theory of planned behavior (1991)Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology1 (2012)Older Adults' Reasons for Using Technology while Aging in Place (2015)Diffusion of Innovations 1 (2019)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)PLS-SEM: Indeed a Silver Bullet (2011)A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)Partial Least Squares Structural Equation Modeling (2017)Assessing measurement model quality in PLS-SEM using confirmatory composite analysis (2019)Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R (2021)Towards a Methodology for Developing Evidence‐Informed Management Knowledge by Means of Systematic Review (2003)Producing a systematic review. (2009)Digital Innovation Management: Reinventing Innovation Management Research in a Digital World (2017)Anticipatory innovation governance (2020)Computational Literature Reviews: Method, Algorithms, and Roadmap (2021)Measuring open innovation practices through topic modelling: Revisiting their impact on firm financial performance (2021)Selection criteria for text mining approaches (2015)Fashion-ology (2018)Latent Dirichlet allocation (LDA) for topic modeling of the CFPB consumer complaints (2019)Extending the diversity conversation: Fashion consumption experiences of underrepresented and underserved women (2022)Public perceptions of digital fashion: An analysis of sentiment and Latent Dirichlet Allocation topic modeling (2022)Investigating Emerging Trends in Sustainable Fashion Research: Topics, Challenges, Strategies, and Future Directions (2024)Exploring market overreaction, investors’ sentiments and investment decisions in an emerging stock market (2020)Effects of sustainable supply chain integration on green innovation and firm performance (2021)Green HRM, green innovation and environmental performance: the role of green transformational leadership and green corporate social responsibility (2023)
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References

  • 2003User Acceptance of Information Technology: Toward A Unified View144,945 cited
  • 2018When to use and how to report the results of PLS-SEM27,424 cited
  • 2017Current Approaches for Assessing Convergent and Discriminant Validity with SEM: Issues and Solutions362 cited
  • 2020The application of text mining methods in innovation research: current state, evolution patterns, and development priorities288 cited
  • 2010An Empirical Comparison of Four Text Mining Methods126 cited
  • 2022Analyzing genderless fashion trends of consumers’ perceptions on social media: using unstructured big data analysis through Latent Dirichlet Allocation-based topic modeling36 cited

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