Most cited papers in Advanced Text Analysis Techniques
What are the most cited papers in Advanced Text Analysis Techniques?
The most cited paper in Advanced Text Analysis Techniques is "When to use and how to report the results of PLS-SEM" (Joseph F. Hair, Jeffrey J. Risher, Marko Sarstedt et al., 2018), with 26,512 citations. Next come "On the evaluation of structural equation models" (20,946) and "Distributed Representations of Words and Phrases and their Compositionality" (18,034).
Showing 50 of 99 papers. Every paper with more than 1,337 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | When to use and how to report the results of PLS-SEM Joseph F. Hair, Jeffrey J. Risher, Marko Sarstedt et al. · European Business Review | 19 Dec 2018 | 26,512 |
| 2 | On the evaluation of structural equation models Richard P. Bagozzi, Youjae Yi · Journal of the Academy of Marketing Science | Mar 1988 | 20,946 |
| 3 | Distributed Representations of Words and Phrases and their Compositionality Tomáš Mikolov, Ilya Sutskever, Kai Chen et al. · arXiv (Cornell University) | 16 Oct 2013 | 18,034 |
| 4 | The Analytic Hierarchy Process Thomas L. Saaty, Kevin P. Kearns · Elsevier eBooks | 1985 | 15,416 |
| 5 | Comparison of Convenience Sampling and Purposive Sampling İlker Etikan · American Journal of Theoretical and Applied Statistics | 2016 | 11,287 |
| 6 | Partial least squares structural equation modeling (PLS-SEM) Joe F. Hair, Marko Sarstedt, Lucas Hopkins et al. · European Business Review | 26 Feb 2014 | 11,270 |
| 7 | A scaling method for priorities in hierarchical structures Thomas L. Saaty · Journal of Mathematical Psychology | Jun 1977 | 10,402 |
| 8 | Term-weighting approaches in automatic text retrieval Gerard Salton, Chris Buckley · Information Processing & Management | 1988 | 9,789 |
| 9 | Machine learning in automated text categorization Fabrizio Sebastiani · ACM Computing Surveys | Mar 2002 | 7,956 |
| 10 | Mining and summarizing customer reviews Minqing Hu, Bing Liu | 22 Aug 2004 | 7,770 |
| 11 | A systematic analysis of performance measures for classification tasks Marina V. Sokolova, Guy Lapalme · Information Processing & Management | 9 May 2009 | 7,026 |
| 12 | Finding scientific topics Thomas L. Griffiths, Mark Steyvers · Proceedings of the National Academy of Sciences | 6 Apr 2004 | 6,099 |
| 13 | Working Memory Alan Baddeley, Graham J. Hitch · The Psychology of learning and motivation/The psychology of learning and motivation | 1974 | 5,377 |
| 14 | An introduction to latent semantic analysis Thomas K. Landauer, Peter W. Foltz, Darrell Laham · Discourse Processes | 1998 | 4,903 |
| 15 | Hierarchical Attention Networks for Document Classification Zichao Yang, Diyi Yang, Chris Dyer et al. | 2016 | 4,899 |
| 16 | Multimodal Machine Learning: A Survey and Taxonomy Tadas Baltrušaitis, Chaitanya Ahuja, Louis‐Philippe Morency · IEEE Transactions on Pattern Analysis and Machine Intelligence | 25 Jan 2018 | 4,774 |
| 17 | A STATISTICAL INTERPRETATION OF TERM SPECIFICITY AND ITS APPLICATION IN RETRIEVAL Karen Spärck Jones · Journal of Documentation | 1972 | 4,555 |
| 18 | Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation David M W Powers · arXiv (Cornell University) | 11 Oct 2020 | 4,430 |
| 19 | PLS-SEM or CB-SEM: updated guidelines on which method to use Joe F. Hair, Lucy M. Matthews, Ryan L. Matthews et al. · International Journal of Multivariate Data Analysis | 2017 | 4,318 |
| 20 | Specification, evaluation, and interpretation of structural equation models Richard P. Bagozzi, Youjae Yi · Journal of the Academy of Marketing Science | 20 Aug 2011 | 3,725 |
| 21 | Lateral Collinearity and Misleading Results in Variance-Based SEM: An Illustration and Recommendations Ned Kock, Gary S. Lynn · Journal of the Association for Information Systems | Jul 2012 | 3,716 |
| 22 | Why a Diagram is (Sometimes) Worth Ten Thousand Words Jill H. Larkin, Herbert A. Simon · Cognitive Science | 3 Jan 1987 | 3,630 |
| 23 | Recognizing contextual polarity in phrase-level sentiment analysis Theresa Wilson, Janyce Wiebe, Paul Hoffmann | 2005 | 3,390 |
| 24 | A sentimental education Bo Pang, Lillian Lee | 2004 | 3,363 |
| 25 | Lexicon-Based Methods for Sentiment Analysis Maite Taboada, Julian Brooke, Milan Tofiloski et al. · Computational Linguistics | 5 Apr 2011 | 3,311 |
| 26 | Automatic acquisition of hyponyms from large text corpora Marti A. Hearst | 1992 | 3,311 |
| 27 | Sentiment Analysis and Opinion Mining Bing Liu · Synthesis lectures on human language technologies | 23 May 2012 | 3,296 |
| 28 | Learning Word Vectors for Sentiment Analysis Andrew L. Maas, Raymond E. Daly, Peter T. Pham et al. | 19 Jun 2011 | 3,286 |
| 29 | Sentiment analysis algorithms and applications: A survey Walaa Medhat, Ahmed Hassan, Hoda Korashy · Ain Shams Engineering Journal | 27 May 2014 | 3,279 |
| 30 | A comparison of event models for naive bayes text classification Andrew McCallum, Kamal Nigam | 1998 | 3,217 |
| 31 | From Frequency to Meaning: Vector Space Models of Semantics Peter D. Turney, Patrick Pantel · Journal of Artificial Intelligence Research | 27 Feb 2010 | 2,920 |
| 32 | Cognitive Load Theory and the Format of Instruction PAUL A. CHANDLER, John Sweller · Cognition and Instruction | Dec 1991 | 2,885 |
| 33 | Searching for intellectual turning points: Progressive knowledge domain visualization Chaomei Chen · Proceedings of the National Academy of Sciences | 6 Apr 2004 | 2,805 |
| 34 | Twitter as a Corpus for Sentiment Analysis and Opinion Mining Alexander Pak, Patrick Paroubek | May 2010 | 2,725 |
| 35 | SentiWordNet 3.0: An Enhanced Lexical Resource for Sentiment Analysis and Opinion Mining Stefano Baccianella, Andrea Esuli, Fabrizio Sebastiani | May 2010 | 2,692 |
| 36 | Accurate methods for the statistics of surprise and coincidence Ted E. Dunning | Mar 1993 | 2,685 |
| 37 | The political blogosphere and the 2004 U.S. election Lada A. Adamic, Natalie Glance | 21 Aug 2005 | 2,667 |
| 38 | A re-examination of text categorization methods Yiming Yang, Xin Liu | Aug 1999 | 2,667 |
| 39 | The structure of ill structured problems Herbert A. Simon · Artificial Intelligence | 1973 | 2,595 |
| 40 | A Language Modeling Approach to Information Retrieval Jay M. Ponte, W. Bruce Croft · ACM SIGIR Forum | 2 Aug 2017 | 2,534 |
| 41 | Synergy, antagonism, and what the chequerboard puts between them Frank C. Odds · Journal of Antimicrobial Chemotherapy | 12 Jun 2003 | 2,516 |
| 42 | SENTIWORDNET: A Publicly Available Lexical Resource for Opinion Mining Andrea Esuli, Fabrizio Sebastiani | May 2006 | 2,497 |
| 43 | Unsupervised Learning by Probabilistic Latent Semantic Analysis Thomas Frank Hofmann · Machine Learning | 2001 | 2,479 |
| 44 | Minimum sample size estimation in PLS‐SEM: The inverse square root and gamma‐exponential methods Ned Kock, Pierre Hadaya · Information Systems Journal | 29 Nov 2016 | 2,471 |
| 45 | Textual Analysis in Accounting and Finance: A Survey Tim Loughran, Bill McDonald · Journal of Accounting Research | 26 Apr 2016 | 2,327 |
| 46 | Recurrent Convolutional Neural Networks for Text Classification Siwei Lai, Liheng Xu, Kang Liu et al. · Proceedings of the AAAI Conference on Artificial Intelligence | 19 Feb 2015 | 2,321 |
| 47 | Observing Interaction: An Introduction to Sequential Analysis Victor L. Willson, Roger A. Bakeman, John Mordechai Gottman · Journal of Educational Statistics | 1988 | 2,311 |
| 48 | Exploring the Space of Topic Coherence Measures Michael Röder, Andreas Both, Alexander Hinneburg | 28 Jan 2015 | 2,272 |
| 49 | The reviewing of object files: Object-specific integration of information Daniel J. Kahneman, Anne Treisman, Brian Gibbs · Cognitive Psychology | Apr 1992 | 2,256 |
| 50 | Seeing stars Bo Pang, Lillian Lee | 2005 | 2,173 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for a field when OpenAlex files it under one of the field's topics; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.