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Topic · Text and Document Classification Technologies

Most cited papers in Text and Document Classification Technologies

Text and Document Classification Technologies

What are the most cited papers in Text and Document Classification Technologies?

The most cited paper in Text and Document Classification Technologies is "Glove: Global Vectors for Word Representation" (Jeffrey Pennington, Richard Socher, Christopher D. Manning, 2014), with 34,197 citations. Next come "SMOTE: Synthetic Minority Over-sampling Technique" (32,759) and "Comparison of Convenience Sampling and Purposive Sampling" (11,287).

Showing 50 of 100 papers. Every paper with more than 989 citations is listed.

Most cited papers, sortable by citations and release date
#Paper
1 Glove: Global Vectors for Word Representation Jeffrey Pennington, Richard Socher, Christopher D. Manning Conference paper 2014 34,197
2 SMOTE: Synthetic Minority Over-sampling Technique Nitesh V. Chawla, Kevin W. Bowyer, Lawrence Hall et al. · Journal of Artificial Intelligence Research Open access Jun 2002 32,759
3 Comparison of Convenience Sampling and Purposive Sampling İlker Etikan · American Journal of Theoretical and Applied Statistics Open access 2016 11,287
4 Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf, Max Welling · arXiv (Cornell University) PreprintOpen access 9 Sep 2016 8,050
5 Text categorization with Support Vector Machines: Learning with many relevant features Thorsten Joachims · Lecture notes in computer science Conference paper 1998 8,050
6 Machine learning in automated text categorization Fabrizio Sebastiani · ACM Computing Surveys Open access Mar 2002 7,956
7 Support vector machines Marti A. Hearst, Susan Dumais, E. Osuna et al. · IEEE Intelligent Systems and their Applications Jul 1998 7,152
8 Thumbs up? Bo Pang, Lillian Lee, Shivakumar Vaithyanathan Conference paperOpen access 2002 7,061
9 A systematic analysis of performance measures for classification tasks Marina V. Sokolova, Guy Lapalme · Information Processing & Management 9 May 2009 7,026
10 The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation Davide Chicco, Giuseppe Jurman · BMC Genomics Open access 2 Jan 2020 6,216
11 Hierarchical Attention Networks for Document Classification Zichao Yang, Diyi Yang, Chris Dyer et al. Conference paperOpen access 2016 4,899
12 Borderline-SMOTE: A New Over-Sampling Method in Imbalanced Data Sets Learning Hui Han, Wenyuan Wang, Binghuan Mao · Lecture notes in computer science Conference paper 2005 4,075
13 ML-KNN: A lazy learning approach to multi-label learning Min-Ling Zhang, Zhi‐Hua Zhou · Pattern Recognition 14 Jan 2007 3,607
14 A Review on Multi-Label Learning Algorithms Min-Ling Zhang, Zhi‐Hua Zhou · IEEE Transactions on Knowledge and Data Engineering 31 May 2013 3,407
15 Semi-supervised learning using Gaussian fields and harmonic functions Xiaojin Zhu, Zoubin Ghahramani, John Lafferty 21 Aug 2003 3,382
16 Sentiment Analysis and Opinion Mining Bing Liu · Synthesis lectures on human language technologies 23 May 2012 3,296
17 Sentiment analysis algorithms and applications: A survey Walaa Medhat, Ahmed Hassan, Hoda Korashy · Ain Shams Engineering Journal Open access 27 May 2014 3,279
18 Character-level Convolutional Networks for Text Classification Xiang Zhang, Junbo Zhao, Yann LeCun · arXiv (Cornell University) PreprintOpen access 4 Sep 2015 3,278
19 Recent Trends in Deep Learning Based Natural Language Processing [Review Article] Tom Young, Devamanyu Hazarika, Soujanya Poria et al. · IEEE Computational Intelligence Magazine 20 Jul 2018 2,925
20 Structural Deep Network Embedding Daixin Wang, Peng Cui, Wenwu Zhu Conference paper 8 Aug 2016 2,850
21 Text Classification from Labeled and Unlabeled Documents using EM Kamal Nigam, Andrew Kachites McCallum, Sebastian Thrun et al. · Machine Learning Open access May 2000 2,754
22 A Review on Evaluation Metrics for Data Classification Evaluations Md Ekrim Hossin, Sulaiman M.N · International Journal of Data Mining & Knowledge Management Process Open access 31 Mar 2015 2,729
23 A re-examination of text categorization methods Yiming Yang, Xin Liu Conference paperOpen access Aug 1999 2,667
24 A survey on semi-supervised learning Jesper E. van Engelen, Holger H. Hoos · Machine Learning Open access 15 Nov 2019 2,653
25 Multi-Label Classification Grigorios Tsoumakas, Ioannis Katakis · International Journal of Data Warehousing and Mining Jul 2007 2,538
26 Attention-based LSTM for Aspect-level Sentiment Classification Yequan Wang, Minlie Huang, Xiaoyan Zhu et al. Conference paperOpen access 2016 2,394
27 Classification assessment methods Alaa Tharwat · Applied Computing and Informatics Open access 21 Aug 2018 2,388
28 An extensive empirical study of feature selection metrics for text classification George Forman Mar 2003 2,384
29 A comprehensive survey on support vector machine classification: Applications, challenges and trends Jair Cervantes, Farid García‐Lamont, Lisbeth Rodríguez-Mazahua et al. · Neurocomputing Open access 8 May 2020 2,377
30 Learning multi-label scene classification Matthew R. Boutell, Jiebo Luo, Xipeng Shen et al. · Pattern Recognition 29 May 2004 2,324
31 Classifier chains for multi-label classification Jesse Read, Bernhard Pfahringer, Geoffrey Holmes et al. · Machine Learning Open access 29 Jun 2011 2,324
32 Recurrent Convolutional Neural Networks for Text Classification Siwei Lai, Liheng Xu, Kang Liu et al. · Proceedings of the AAAI Conference on Artificial Intelligence Conference paperOpen access 19 Feb 2015 2,321
33 SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary Alberto Fernández, Salvador García, Francisco Herrera et al. · Journal of Artificial Intelligence Research Open access 20 Apr 2018 2,243
34 Semantic Similarity Based on Corpus Statistics and Lexical Taxonomy Jay J. Jiang, David W. Conrath · arXiv (Cornell University) PreprintOpen access 20 Sep 1997 2,226
35 Thumbs up? Sentiment Classification using Machine Learning Techniques Bo Pang, Lillian Lee, Shivakumar Vaithyanathan · arXiv (Cornell University) PreprintOpen access 28 May 2002 2,214
36 BoosTexter: A Boosting-based System for Text Categorization Robert E. Schapire, Yoram Singer · Machine Learning Open access May 2000 2,204
37 Methods of combining multiple classifiers and their applications to handwriting recognition Longchang Xu, Adam Krzyżak, Ching Y. Suen · IEEE Transactions on Systems Man and Cybernetics 1992 2,190
38 Seeing stars Bo Pang, Lillian Lee Conference paperOpen access 2005 2,173
39 A simple and fast algorithm for K-medoids clustering Hae-Sang Park, Chi‐Hyuck Jun · Expert Systems with Applications 12 Feb 2008 2,148
40 Naive (Bayes) at forty: The independence assumption in information retrieval David D. Lewis · Lecture notes in computer science Conference paperOpen access 1998 2,120
41 NewsWeeder: Learning to Filter Netnews Ken Lang · Elsevier eBooks Book chapter 1995 2,082
42 Analysis of Representations for Domain Adaptation Shai Ben-David, John C. Blitzer, Koby Crammer et al. · The MIT Press eBooks Book chapter 7 Sep 2007 2,053
43 EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks Jason Wei, Kai Zou Conference paperOpen access 2019 1,965
44 A Comprehensive Survey of Clustering Algorithms Dongkuan Xu, Yingjie Tian · Annals of Data Science Open access Jun 2015 1,961
45 An Evaluation of Statistical Approaches to Text Categorization Yiming Yang · Information Retrieval Apr 1999 1,960
46 Training linear SVMs in linear time Thorsten Joachims Conference paper 20 Aug 2006 1,956
47 Rank aggregation methods for the Web Cynthia Dwork, Ravi Kumar, Moni Naor et al. Conference paper Apr 2001 1,833
48 Natural language processing: state of the art, current trends and challenges Diksha Khurana, Aditya Koli, Kiran Khatter et al. · Multimedia Tools and Applications Open access 14 Jul 2022 1,817
49 Text Data Augmentation for Deep Learning Connor Shorten, Taghi M. Khoshgoftaar, Borko Furht · Journal Of Big Data Open access 19 Jul 2021 1,707
50 GraRep Shaosheng Cao, Wei Lu, Qiongkai Xu Conference paper 17 Oct 2015 1,635

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.