On Compression-Based Text Classification

Machine learning in automated text categorization

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A Comparative Study on Feature Selection in Text Categorization

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A comparison of event models for naive bayes text classification

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An empirical study of smoothing techniques for language modeling

Chen, S. F., & Goodman, J. (1999) · Computer Speech & Language · doi:10.1006/csla.1999.0128 · Cited by 2,100 · see citing works

An Evaluation of Statistical Approaches to Text Categorization

Yang, Y. (1999) · Information Retrieval · doi:10.1023/a:1009982220290 · Cited by 1,945 · see citing works

N-gram-based text categorization

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Tackling the poor assumptions of naive bayes text classifiers

Rennie, J. D. M., Shih, L., Teevan, J. B., & Karger, D. R. (2003) · Cited by 977 · see citing works

Problems of Information Transmission

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Inference and disputed authorship : The Federalist

Mosteller, F. C., & Wallace, D. K. (1964) · Medical Entomology and Zoology · Cited by 916 · see citing works

A bit of progress in language modeling

Goodman, J. (2001) · Computer Speech and Language · doi:10.1006/csla.2001.0174 · Cited by 744 · see citing works

Gauging Similarity with n -Grams: Language-Independent Categorization of Text

Damashek, M. (1995) · Science · doi:10.1126/science.267.5199.843 · Cited by 536 · see citing works

Text Categorization Based on Regularized Linear Classification Methods

Zhang, T., & Oles, F. J. (2001) · Information Retrieval · doi:10.1023/a:1011441423217 · Cited by 381 · see citing works

Language Trees and Zipping

Benedetto, D., Caglioti, E., & Loreto, V. (2002) · Physical Review Letters · doi:10.1103/physrevlett.88.048702 · Cited by 359 · see citing works

Augmenting Naive Bayes Classifiers with Statistical Language Models

Peng, F., Schuurmans, D., & Wang, S. (2004) · Information Retrieval · doi:10.1023/b:inrt.0000011209.19643.e2 · Cited by 248 · see citing works

Applied Bayesian and Classical Inference

Mosteller, F., & Wallace, D. L. (1984) · Springer Series in Statistics · doi:10.1007/978-1-4612-5256-6 · Cited by 195 · see citing works

Combining Naive Bayes and n-Gram Language Models for Text Classification

Peng, F., & Schuurmans, D. (2003) · Lecture notes in computer science · doi:10.1007/3-540-36618-0_24 · Cited by 170 · see citing works

On the Naive Bayes Model for Text Categorization.

Eyheramendy, S., Lewis, D. D., & Madigan, D. (2003) · Cited by 167 · see citing works

Using Compression-Based Language Models for Text Categorization

Teahan, W. J., & Harper, D. J. (2003) · Springer eBooks · doi:10.1007/978-94-017-0171-6_7 · Cited by 138 · see citing works

Modified Logistic Regression: An Approximation to SVM and Its Applications in Large-Scale Text Categorization

Zhang, J., Jin, R., Yang, Y., & Hauptmann, A. G. (2018) · doi:10.1184/r1/6607472 · Cited by 136 · see citing works

Using Literal and Grammatical Statistics for Authorship Attribution

Кукушкина, О. В., Polikarpov, A. A., & Khmelev, D. (2001) · Problems of Information Transmission · doi:10.1023/a:1010478226705 · Cited by 123 · see citing works

Using Markov chains for identification of writers

Khmelev, D. (2001) · Literary and Linguistic Computing · doi:10.1093/llc/16.3.299 · Cited by 116 · see citing works

A Bit of Progress in Language Modeling Extended VersionPreprint

Goodman, J. (2001) · Cited by 114 · see citing works

Language and task independent text categorization with simple language models

Peng, F., Schuurmans, D., & Wang, S. (2003) · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · doi:10.3115/1073445.1073470 · Cited by 114 · see citing works

Text categorization using compression models

Frank, E., Chui, C., & Witten, I. H. (2002) · DCC · doi:10.1109/dcc.2000.838202 · Cited by 87 · see citing works

A repetition based measure for verification of text collections and for text categorization

Khmelev, D. V., & Teahan, W. J. (2003) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/860435.860456 · Cited by 79 · see citing works

Text classification and segmentation using minimum cross-entropy

Teahan, W. J. (2000) · Cited by 58 · see citing works

DNA Sequence Classification Using Compression-Based Induction

Loewenstern, D., Noordewier, M., Yianilos, P., & Hirsh, H. (1995) · doi:10.7282/t3sj1q2q · Cited by 31 · see citing works

Extended Comment on Language Trees and ZippingPreprint

Goodman, J. (2002) · arXiv (Cornell University) · doi:10.48550/arxiv.cond-mat/0202383 · Cited by 24 · see citing works

Comment on “Language Trees and Zipping”

Khmelev, D. V., & Teahan, W. J. (2003) · Physical Review Letters · doi:10.1103/physrevlett.90.089803 · Cited by 16 · see citing works

Improving the Efficiency of the PPM Algorithm

Shkarin, D. A. (2001) · Problems of Information Transmission · doi:10.1023/a:1013878007506 · Cited by 14 · see citing works

Using compression for source-based classification of text

Thaper, N. (2001) · DSpace@MIT (Massachusetts Institute of Technology) · Cited by 9 · see citing works

On J. Goodman's comment to "Language Trees and Zipping"Preprint

Benedetto, D., Caglioti, E., & Loreto, V. (2002) · arXiv (Cornell University) · doi:10.48550/arxiv.cond-mat/0203275 · Cited by 6 · see citing works

Benedetto, Caglioti, and Loreto Reply:

Benedetto, D., Caglioti, E., & Loreto, V. (2003) · Physical Review Letters · doi:10.1103/physrevlett.90.089804 · Cited by 5 · see citing works

N-Gram Feature Selection for Authorship Identification

Houvardas, J., & Stamatatos, E. (2006) · Lecture notes in computer science · doi:10.1007/11861461_10 · Cited by 201 · see citing works

New filtering approaches for phishing email

Bergholz, A., Beer, J. D., Glahn, S., Moens, M., Paaß, G., & Strobel, S. (2010) · Journal of Computer Security · doi:10.3233/jcs-2010-0371 · Cited by 178 · see citing works

Surveying Stylometry Techniques and Applications

Neal, T., Sundararajan, K., Fatima, A., Yan, Y., Xiang, Y., & Woodard, D. (2018) · ACM Computing Surveys · doi:10.1145/3132039 · Cited by 222 · see citing works

Improved Phishing Detection using Model-Based Features.

Bergholz, A., Chang, J. H., Paaß, G., Reichartz, F., & Strobel, S. (2008) · Cited by 136 · see citing works

“Low-Resource” Text Classification: A Parameter-Free Classification Method with Compressors

Jiang, Z., Yang, M., Tsirlin, M., Tang, R., Dai, Y., & Lin, J. (2023) · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · doi:10.18653/v1/2023.findings-acl.426 · Cited by 85 · see citing works

Extracting key-substring-group features for text classification

Zhang, D., & Lee, W. S. (2006) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/1150402.1150455 · Cited by 56 · see citing works

Comparing compression models for authorship attribution

Oliveira, W., Justino, E. J. R., & Oliveira, L. S. (2013) · Forensic Science International · doi:10.1016/j.forsciint.2013.02.025 · Cited by 48 · see citing works

Author gender identification from Arabic text

Alsmearat, K., Al‐Ayyoub, M., Al–Shalabi, R., & Kanaan, G. (2017) · Journal of Information Security and Applications · doi:10.1016/j.jisa.2017.06.003 · Cited by 40 · see citing works

Improving Cross-Topic Authorship Attribution: The Role of Pre-Processing

Markov, I., Stamatatos, E., & Sidorov, G. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-77116-8_21 · Cited by 39 · see citing works

A Machine Learning Perspective on Predictive Coding with PAQ8

Knoll, B., & de Freitas, N. (2012) · DCC · doi:10.1109/dcc.2012.44 · Cited by 39 · see citing works

Authorship Attribution in the Era of LLMs: Problems, Methodologies, and Challenges

Huang, B., Chen, C., & Shu, K. (2025) · ACM SIGKDD Explorations Newsletter · doi:10.1145/3715073.3715076 · Cited by 42 · see citing works

Scalable multi-label Arabic text classification

Ahmed, N. A., Shehab, M. A., Al‐Ayyoub, M., & Hmeidi, I. (2015) · International Conference on Information and Communication Systems (ICICS) · doi:10.1109/iacs.2015.7103229 · Cited by 38 · see citing works

Emotion analysis of Arabic articles and its impact on identifying the author's gender

Alsmearat, K., Shehab, M. A., Al‐Ayyoub, M., Al–Shalabi, R., & Kanaan, G. (2015) · IEEE/ACS International Conference on Computer Systems and Applications (AICCSA) · doi:10.1109/aiccsa.2015.7507196 · Cited by 38 · see citing works

An extensive study of the Bag-of-Words approach for gender identification of Arabic articles

Alsmearat, K., Al‐Ayyoub, M., & Al–Shalabi, R. (2014) · IEEE/ACS International Conference on Computer Systems and Applications (AICCSA) · doi:10.1109/aiccsa.2014.7073254 · Cited by 36 · see citing works

On the Usefulness of Compression Models for Authorship Verification

Halvani, O., Winter, C., & Graner, L. (2017) · International Conference on Availability, Reliability and Security (ARES) · doi:10.1145/3098954.3104050 · Cited by 35 · see citing works

A supervised approach for multi-label classification of Arabic news articles

Shehab, M. A., Badarneh, O., Al‐Ayyoub, M., & Jararweh, Y. (2016) · doi:10.1109/csit.2016.7549465 · Cited by 35 · see citing works

Text Analysis in Adversarial Settings

Gröndahl, T., & Asokan, N. (2019) · ACM Computing Surveys · doi:10.1145/3310331 · Cited by 44 · see citing works

Forensic Authorship Attribution Using Compression Distances to Prototypes

Lambers, M., & Veenman, C. J. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-03521-0_2 · Cited by 32 · see citing works

Robust stylometric analysis and author attribution based on tones and rimes

Hou, R., & Huang, C. (2019) · Natural Language Engineering · doi:10.1017/s135132491900010x · Cited by 27 · see citing works

Compression Analytics for Classification and Anomaly Detection Within Network Communication

Ting, C. L., Field, R. V., Fisher, A., & Bauer, T. (2018) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2018.2878172 · Cited by 24 · see citing works

Tweet classification by data compression

Nishida, K., Banno, R., Fujimura, K., & Hoshide, T. (2011) · doi:10.1145/2064448.2064473 · Cited by 23 · see citing works

Tensor Space Models for Authorship Identification

Plakias, S., & Stamatatos, E. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-87881-0_22 · Cited by 22 · see citing works

Compression-based arabic text classification

Taamneh, H., Keshek, E. A., Issa, M. B., Al‐Ayyoub, M., & Jararweh, Y. (2014) · IEEE/ACS International Conference on Computer Systems and Applications (AICCSA) · doi:10.1109/aiccsa.2014.7073253 · Cited by 18 · see citing works

A novel compression-based approach for malware detection using PE header

Khorsand, Z., & Hamzeh, A. (2013) · International Conference on Information and Knowledge Technology (IKT) · doi:10.1109/ikt.2013.6620051 · Cited by 14 · see citing works

A Comparative Study of Automatic Text Categorization Methods Using Arabic Text

Hmeidi, I., & Al-shalabi, M. A.-A. M. (2015) · Cited by 10 · see citing works

Text Analysis in Adversarial Settings: Does Deception Leave a Stylistic Trace?Preprint

Gröndahl, T., & Asokan, N. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1902.08939 · Cited by 10 · see citing works

Can Anonymous Posters on Medical Forums be Reidentified?

Bobicev, V., Sokolova, M., Emam, K. E., Jafer, Y., Dewar, B., Jonker, E., & Matwin, S. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2514 · Cited by 8 · see citing works

Compression-Based Algorithms for Deception Detection

Ting, C. L., Fisher, A. N., & Bauer, T. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-67217-5_16 · Cited by 7 · see citing works

A compression-based technique to classify metamorphic malware

Ekhtoom, D., Al‐Ayyoub, M., Al-Saleh, M. I., Alsmirat, M. A., & Hmeidi, I. (2016) · IEEE/ACS International Conference on Computer Systems and Applications (AICCSA) · doi:10.1109/aiccsa.2016.7945801 · Cited by 6 · see citing works

Authorship Identification Using Stylometry and Document Fingerprinting

Yadav, S., Rathore, S. S., & Chouhan, S. S. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-66665-1_18 · Cited by 6 · see citing works

Reduce & Attribute: Two-Step Authorship Attribution for Large-Scale Problems

Tschuggnall, M., Murauer, B., & Specht, G. (2019) · Conference on Computational Natural Language Learning · doi:10.18653/v1/k19-1089 · Cited by 6 · see citing works

Legal documents categorization by compression

Mastropaolo, A., Pallante, F., & Radicioni, D. P. (2013) · International Conference on Artificial Intelligence and Law · doi:10.1145/2514601.2514612 · Cited by 6 · see citing works

An improved N-grams based Model for Authorship Attribution

Boughaci, D., BENMESBAH, M., & ZEBIRI, A. (2019) · doi:10.1109/iccisci.2019.8716391 · Cited by 5 · see citing works

A Novel Integer Representation-Based Approach for Classification of Text Documents

Bhushan, S. N. B., Danti, A., & Fernandes, S. L. (2016) · Advances in intelligent systems and computing · doi:10.1007/978-981-10-1678-3_53 · Cited by 5 · see citing works

PhishZip: A New Compression-based Algorithm for Detecting Phishing Websites

Purwanto, R. W., Pal, A., Blair, A., & Jha, S. K. (2020) · IEEE Conference on Communications and Network Security · doi:10.1109/cns48642.2020.9162211 · Cited by 5 · see citing works

A new compression based method for android malware detection using opcodes

Bakhshinejad, N., & Hamzeh, A. (2017) · CSI International Symposium on Artificial Intelligence and Signal Processing · doi:10.1109/aisp.2017.8324092 · Cited by 4 · see citing works

Fast compressed-based strategies for author profiling of social media texts

Claude, F., Konow, R., & Ladra, S. (2016) · Spanish Conference on Information Retrieval (CERI) · doi:10.1145/2934732.2934744 · Cited by 4 · see citing works

Authorship Attribution based on Data Compression for Telugu Text

Nagaprasad, S., Reddy, P. V., & Babu, A. V. (2015) · International Journal of Computer Applications · doi:10.5120/19277-0686 · Cited by 3 · see citing works

Compression-based document length prior for language models

Parapar, J., Losada, D. E., & Barreiro, Á. (2009) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/1571941.1572061 · Cited by 3 · see citing works

Introduction to Stylistic Models and Applications

Savoy, J. (2020) · Springer eBooks · doi:10.1007/978-3-030-53360-1_1 · Cited by 3 · see citing works

Region Based Instance Document (RID) Approach Using Compression Features for Authorship Attribution

Raju, N., & Chinta, S. R. (2018) · Annals of Data Science · doi:10.1007/s40745-018-0145-4 · Cited by 3 · see citing works

Machine Learning Models

Savoy, J. (2020) · Springer eBooks · doi:10.1007/978-3-030-53360-1_6 · Cited by 4 · see citing works

Advanced Models for Stylometric Applications

Savoy, J. (2020) · Springer eBooks · doi:10.1007/978-3-030-53360-1_7 · Cited by 2 · see citing works

Malware family classification via efficient Huffman features

O’Shaughnessy, S., & Breitinger, F. (2021) · Forensic Science International Digital Investigation · doi:10.1016/j.fsidi.2021.301192 · Cited by 2 · see citing works

Integer Representation and B-Tree for Classification of Text Documents: An Integrated Approach

Bhushan, S. N. B., Danti, A., & Fernandes, S. L. (2018) · Advances in intelligent systems and computing · doi:10.1007/978-981-10-7563-6_50 · Cited by 1 · see citing works

Towards the Automatic Processing of Language Registers: Semi-supervisedly Built Corpus and Classifier for French

Lecorvé, G., Ayats, H., Fournier, B., Mekki, J., Chevelu, J., Battistelli, D., & Béchet, N. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-24337-0_34 · Cited by 1 · see citing works

Using a Hierarchical Softmax Based on the Huffman Coding Tree for Authenticating Arabic Tweets

Talafha, B., AL-Smadi, M., Al‐Ayyoub, M., Jararweh, Y., & Juola, P. (2019) · IEEE/ACS International Conference on Computer Systems and Applications (AICCSA) · doi:10.1109/aiccsa47632.2019.9035303 · Cited by 1 · see citing works

Elena Ferrante: A Case Study in Authorship Attribution

Savoy, J. (2020) · Springer eBooks · doi:10.1007/978-3-030-53360-1_8 · Cited by 2 · see citing works

Features Identification and Selection

Savoy, J. (2020) · Springer eBooks · doi:10.1007/978-3-030-53360-1_5 · Cited by 1 · see citing works

Practical token retrieval and indexing from binary data: An application in computer aided design

Gruber, M., Geschray, R., & Hillbrand, C. (2011) · IEEE International Symposium on Logistics and Industrial Informatics (LINDI) · doi:10.1109/lindi.2011.6031132

Authorship Attribution based on Grammar Signatures

Gopalakrishnan, S. (2013) · OhioLink ETD Center (Ohio Library and Information Network)

Basic Lexical Concepts and Measurements

Savoy, J. (2020) · Springer eBooks · doi:10.1007/978-3-030-53360-1_2

Distance-Based Approaches

Savoy, J. (2020) · Springer eBooks · doi:10.1007/978-3-030-53360-1_3

Author Profiling of Tweets

Savoy, J. (2020) · Springer eBooks · doi:10.1007/978-3-030-53360-1_9

Evaluation Methodology and Test Corpora

Savoy, J. (2020) · Springer eBooks · doi:10.1007/978-3-030-53360-1_4

Applications to Political Speeches

Savoy, J. (2020) · Springer eBooks · doi:10.1007/978-3-030-53360-1_10

Use of Compression Analytics to Detect Deception

Bauer, T., Astuto-Gribble, L. M., Clifford, J. M., Jones, A. P., Murchison, N., & Wisniewski, K. (2023) · International Conference on Behavioral, Economic, and Socio-Cultural Computing · doi:10.1109/besc59560.2023.10386884

A Multi-Language Comparison of Influences on Author Verification using Character N-Grams

Dam, M. C. V. (2014)

Caractérisation de registres de langue par extraction de motifs séquentiels émergents

Mekki, J. (2022) · doi:10.70675/595fc8a2zec42z4e87z8b18zd89f5c514815

On authorship attribution: document’s length may not matter

Bertini, F., Branchetti, S., Calarota, G., & Montesi, D. (2026) · it - Information Technology · doi:10.1515/itit-2024-0099

Proc. of the 27th European Conference on Information Retrieval. c○Springer-Verlag On Compression-Based Text Classification

Marton, Y., Wu, N., & Hellerstein, L. (2012)

Gzip versus bag-of-words for text classificationPreprint

Opitz, J. (2023) · arXiv (Cornell University) · doi:10.48550/arxiv.2307.15002

COMPRESSED LEARNING FOR TEXT CATEGORIZATION

Ferreira, A. J., & Figueiredo, M. A. T. (2016) · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · doi:10.34629/ipl.isel.i-etc.3

Compression-based arabic text classification

Taamneh, H., Keshek, E. A., Issa, M. B., Al‐Ayyoub, M., & Jararweh, Y. (2014) · IEEE/ACS International Conference on Computer Systems and Applications (AICCSA) · doi:10.1109/aiccsa.2014.7073253 · Cited by 18 · see citing works

Compression Based Modeling for Classification of Text Documents

Bhushan, S. N. B., & Danti, A. (2019) · Communications in computer and information science · doi:10.1007/978-981-13-9187-3_63