Automatically profiling the author of an anonymous text

Introduction to functional grammar . By M. A. K. Halliday London & Baltimore: Edward Arnold, 1985. Pp. xxxv, 387.

Matthiessen, C. M. I. M. (1989) · Language · doi:10.2307/414947 · Cited by 9,894 · see citing works

Machine learning in automated text categorization

Sebastiani, F. (2002) · ACM Computing Surveys · doi:10.1145/505282.505283 · Cited by 7,927 · see citing works

Psychological Aspects of Natural Language Use: Our Words, Our Selves

Pennebaker, J. W., Mehl, M. R., & Niederhoffer, K. G. (2003) · Annual Review of Psychology · doi:10.1146/annurev.psych.54.101601.145041 · Cited by 2,624 · see citing works

Large-Scale Bayesian Logistic Regression for Text Categorization

Genkin, A., Lewis, D. D., & Madigan, D. (2007) · Technometrics · doi:10.1198/004017007000000245 · Cited by 812 · see citing works

Effects of Age and Gender on Blogging

Schler, J., Koppel, M., Argamon, S., & Pennebaker, J. W. (2005) · National Conference on Artificial Intelligence · Cited by 590 · see citing works

Gender, genre, and writing style in formal written texts

ARGAMON, S., KOPPEL, M., FINE, J., & SHIMONI, A. R. (2003) · Text - Interdisciplinary Journal for the Study of Discourse · doi:10.1515/text.2003.014 · Cited by 560 · see citing works

Authorship Attribution

Juola, P. (2008) · Foundations and Trends® in Information Retrieval · doi:10.1561/1500000005 · Cited by 505 · see citing works

The Handbook of Language Variation and Change

(2003) · Blackwell Publishing Ltd eBooks · doi:10.1111/b.9781405116923.2003.00017.x · Cited by 405 · see citing works

Determining an author's native language by mining a text for errors

Koppel, M., Schler, J., & Zigdon, K. (2005) · Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining · doi:10.1145/1081870.1081947 · Cited by 167 · see citing works

From fingerprint to writeprint

Li, J., Zheng, R., & Chen, H. (2006) · Communications of the ACM · doi:10.1145/1121949.1121951 · Cited by 154 · see citing works

The Handbook of Language Variation and Change

(2004) · Wiley eBooks · doi:10.1002/9780470756591 · Cited by 142 · see citing works

Effects of Age and Gender on Blogging

Koppel, M., Schler, J., Argamon, S., & Pennebaker, J. W. (2006) · Touro Scholar (Touro College) · Cited by 11 · see citing works

Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach

Schwartz, H. A., Eichstaedt, J. C., Kern, M. L., Dziurzynski, L., Ramones, S. M., Agrawal, M., Shah, A., Kosinski, M., Stillwell, D., Seligman, M. E. P., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0073791 · Cited by 1,700 · see citing works

The Development and Psychometric Properties of LIWC2015

Pennebaker, J. W., Boyd, R. L., Jordan, K., & Blackburn, K. (2015) · University of Texas at Austin · doi:10.15781/t25p41 · Cited by 1,674 · see citing works

Computational methods in authorship attribution

Koppel, M., Schler, J., & Argamon, S. (2009) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.20961 · Cited by 528 · see citing works

Language style matching in writing: synchrony in essays, correspondence, and poetry.

Ireland, M. E., & Pennebaker, J. W. (2010) · Journal of Personality and Social Psychology · doi:10.1037/a0020386 · Cited by 380 · see citing works

Developing Age and Gender Predictive Lexica over Social Media

Sap, M., Park, G., Eichstaedt, J. C., Kern, M. L., Stillwell, D. J., Kosiński, M., Ungar, L., & Schwartz, H. A. (2014) · Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.3115/v1/d14-1121 · Cited by 235 · see citing works

Computational Sociolinguistics: A Survey

Nguyen, D., Doğruöz, A. S., Rosé, C. P., & de Jong, F. M. G. (2016) · Computational Linguistics · doi:10.1162/coli_a_00258 · Cited by 231 · see citing works

Online hatred of women in the Incels.me forum: Linguistic analysis and automatic detection

Jaki, S., De Smedt, T., Gwóźdź, M., Panchal, R., Rossa, A., & De Pauw, G. (2019) · Journal of Language Aggression and Conflict · doi:10.1075/jlac.00026.jak · Cited by 226 · 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

Overview of the 2nd Author Profiling Task at PAN 2014

Rangel, F., Rosso, P., Koppel, M., Stamatatos, E., & Inches, G. (2013) · RiuNet (Universitat Politècnica de València) · Cited by 201 · see citing works

Authorship Attribution for Twitter in 140 Characters or Less

Layton, R., Watters, P., & Dazeley, R. (2010) · Cybercrime and Trustworthy Computing Workshop (CTC) · doi:10.1109/ctc.2010.17 · Cited by 139 · see citing works

Twitter user profiling based on text and community mining for market analysis

Ikeda, K., Hattori, G., Ono, C., Asoh, H., & Teruo Higashino, Y. (2013) · Knowledge-Based Systems · doi:10.1016/j.knosys.2013.06.020 · Cited by 139 · see citing works

Sarcasm detection in microblogs using Naïve Bayes and fuzzy clustering

Mukherjee, S., & Bala, P. K. (2016) · Technology in Society · doi:10.1016/j.techsoc.2016.10.003 · Cited by 102 · see citing works

What demographic attributes do our digital footprints reveal? A systematic review

Hinds, J. M., & Joinson, A. (2018) · PLoS ONE · doi:10.1371/journal.pone.0207112 · Cited by 98 · see citing works

WhatsApp usage patterns and prediction of demographic characteristics without access to message content

Rosenfeld, A., Sina, S., Sarne, D., Avidov, O., & Kraus, S. (2018) · Demographic Research · doi:10.4054/demres.2018.39.22 · Cited by 94 · see citing works

Authorship Attribution with Topic Models

Seroussi, Y., Zukerman, I., & Bohnert, F. (2014) · Computational Linguistics · doi:10.1162/coli_a_00173 · Cited by 89 · see citing works

Detecting child grooming behaviour patterns on social media

Cano, A. E., Fernandez, M., & Alani, H. (2014) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-13734-6_30 · Cited by 79 · see citing works

Establishing the Importance of Interaction and Presence to Student Learning in Online Environments

Kyei-Blankson, L., Ntuli, E., & Donnelly, H. (2016) · World Journal of Educational Research · doi:10.22158/wjer.v3n1p48 · Cited by 76 · see citing works

Characterizing communication networks in a web-based classroom: Cognitive styles and linguistic behavior of self-organizing groups in online discussions

Vercellone-Smith, P., Jablokow, K., & Friedel, C. R. (2012) · Computers & Education · doi:10.1016/j.compedu.2012.01.006 · Cited by 75 · see citing works

Personalised rating prediction for new users using latent factor models

Seroussi, Y., Fabian Bohnert, A., & Ingrid Zukerman, A. (2011) · ACM Conference on Hypertext and Social Media (HT) · doi:10.1145/1995966.1995976 · Cited by 72 · see citing works

The Five‐Factor Model in Fact and Fiction

McCrae, R. R., Gaines, J. F., & Wellington, M. A. (2012) · Handbook of Psychology, Second Edition · doi:10.1002/9781118133880.hop205004 · Cited by 71 · see citing works

Exploring high-level features for detecting cyberpedophilia

Bogdanova, D., Rosso, P., & Solorio, T. (2014) · Computer Speech & Language · doi:10.1016/j.csl.2013.04.007 · Cited by 67 · see citing works

Exploring Stylistic Variation with Age and Income on Twitter

Flek, L., Preoțiuc-Pietro, D., & Ungar, L. (2016) · Proceedings of the conference - Association for Computational Linguistics. Meeting · doi:10.18653/v1/p16-2051 · Cited by 66 · see citing works

Distance measures in author profiling

Kocher, M., & Savoy, J. (2017) · Information Processing & Management · doi:10.1016/j.ipm.2017.04.004 · Cited by 65 · see citing works

Multi modal decision fusion for continuous authentication

Fridman, L., Stolerman, A., Acharya, S., Brennan, P., Juola, P., Greenstadt, R., & Kam, M. (2015) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2014.10.018 · Cited by 64 · see citing works

Recent Trends in Digital Text Forensics and Its Evaluation

Gollub, T., Potthast, M., Beyer, A., Busse, M., Rangel, F., Rosso, P., Stamatatos, E., & Stein, B. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-40802-1_28 · Cited by 62 · see citing works

Authorship Attribution Based on Specific Vocabulary

Savoy, J. (2012) · ACM Transactions on Information Systems · doi:10.1145/2180868.2180874 · Cited by 62 · see citing works

Using Learning Analytics for Preserving Academic Integrity

Amigud, A., Arnedo-Moreno, J., Daradoumis, T., & Guerrero-Roldan, A.-E. (2017) · The International Review of Research in Open and Distributed Learning · doi:10.19173/irrodl.v18i5.3103 · Cited by 61 · see citing works

Machine Learning Models of Text Categorization by Author Gender Using Topic-independent Features

Sboev, A. G., Litvinova, T., Владимирович, Г. Д., Борисович, Р. Р., & Александрович, М. И. (2016) · Procedia Computer Science · doi:10.1016/j.procs.2016.11.017 · Cited by 59 · see citing works

Multilingual author profiling on Facebook

Fatima, M., Hasan, K., Anwar, S., & Nawab, R. M. A. (2017) · Information Processing & Management · doi:10.1016/j.ipm.2017.03.005 · Cited by 58 · see citing works

In the mood for sharing contents: Emotions, personality and interaction styles in the diffusion of news

Celli, F., Ghosh, A., Alam, F., & Riccardi, G. (2015) · Information Processing & Management · doi:10.1016/j.ipm.2015.08.002 · Cited by 57 · see citing works

Automated Characterization and Identification of Schizophrenia in Writing

Strous, R. D., Koppel, M., Fine, J. B., Nachliel, S., Shaked, G., & Zivotofsky, A. Z. (2009) · The Journal of Nervous and Mental Disease · doi:10.1097/nmd.0b013e3181b09068 · Cited by 49 · see citing works

Automated unsupervised authorship analysis using evidence accumulation clustering

Layton, R., Watters, P., & Dazeley, R. (2011) · Natural Language Engineering · doi:10.1017/s1351324911000313 · Cited by 48 · see citing works

An unsupervised lexical normalization for Roman Hindi and Urdu sentiment analysis

Mehmood, K., Essam, D., Shafi, K., & Malik, M. K. (2020) · Information Processing & Management · doi:10.1016/j.ipm.2020.102368 · Cited by 48 · see citing works

Leveraging cues from person-generated health data for peer matching in online communities

Hartzler, A. L., Taylor, M. N., Park, A., Griffiths, T., Backonja, U., McDonald, D. W., Wahbeh, S., Brown, C. S., & Pratt, W. (2016) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocv175 · Cited by 46 · see citing works

Authorship attribution on micro-messages

Cavalcante, T. (2014) · doi:10.47749/t/unicamp.2014.945944 · Cited by 46 · 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

Detecting sarcasm in customer tweets: an NLP based approach

Mukherjee, S., & Bala, P. K. (2017) · Industrial Management & Data Systems · doi:10.1108/imds-06-2016-0207 · Cited by 43 · see citing works

How Different Text-Preprocessing Techniques using the Bert Model Affect the Gender Profiling of Authors

Alzahrani, E., & Jololian, L. (2021) · doi:10.5121/csit.2021.111501 · Cited by 43 · see citing works

Application of the distributed document representation in the authorship attribution task for small corpora

Posadas-Durán, J.-P., Gómez-Adorno, H., Sidorov, G., Batyrshin, I., Pinto, D., & Chanona-Hernández, L. (2016) · Soft Computing · doi:10.1007/s00500-016-2446-x · Cited by 41 · see citing works

Manifestations of Individual Differences in Physical and Virtual Environments

Graham, L. T., Sandy, C. J., & Gosling, S. D. (2011) · Wiley eBooks · doi:10.1002/9781444343120.ch30 · Cited by 41 · 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

Online grooming detection: A comprehensive survey of child exploitation in chat logs

Borj, P. R., Raja, K., & Bours, P. (2023) · Knowledge-Based Systems · doi:10.1016/j.knosys.2022.110039 · Cited by 38 · see citing works

Using LIWC to choose simulation approaches: A feasibility study

McHaney, R., Tako, A. A., & Robinson, S. (2018) · Decision Support Systems · doi:10.1016/j.dss.2018.04.002 · Cited by 38 · see citing works

Large-Scale Experiments in Authorship Attribution

Juola, P. (2012) · English Studies · doi:10.1080/0013838x.2012.668792 · Cited by 37 · see citing works

An Empirical Study on Forensic Analysis of Urdu Text Using LDA-Based Authorship Attribution

Anwar, W., Bajwa, I. S., Choudhary, M. A., & Ramzan, S. (2018) · IEEE Access · doi:10.1109/access.2018.2885011 · Cited by 37 · see citing works

Estimating the probability of an authorship attribution

Savoy, J. (2015) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.23455 · Cited by 36 · see citing works

Cognitive computing for customer profiling: meta classification for gender prediction

Hirt, R., Kühl, N., & Satzger, G. (2019) · Electronic Markets · doi:10.1007/s12525-019-00336-z · Cited by 36 · see citing works

Language and Online Identities

Grant, T., & MacLeod, N. J. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108766425 · Cited by 36 · see citing works

Gender classification of microblog text based on authorial style

Mukherjee, S., & Bala, P. K. (2016) · Information Systems and e-Business Management · doi:10.1007/s10257-016-0312-0 · Cited by 36 · see citing works

Extracting Human Temporal Orientation from Facebook Language

Schwartz, H. A., Park, G., Sap, M., Weingarten, E., Eichstaedt, J. C., Kern, M. L., Stillwell, D. J., Kosiński, M., Berger, J. A., Seligman, M. E. P., et al. (2015) · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · doi:10.3115/v1/n15-1044 · Cited by 35 · see citing works

Best Practices of Convolutional Neural Networks for Question Classification

Pota, M., Esposito, M., Pietro, G. D., & Fujita, H. (2020) · Applied Sciences · doi:10.3390/app10144710 · Cited by 35 · see citing works

When classification accuracy is not enough: Explaining news credibility assessment

Przybyła, P., & Soto, A. J. (2021) · Information Processing & Management · doi:10.1016/j.ipm.2021.102653 · Cited by 35 · see citing works

Harnessing Natural Language Processing to Support Decisions Around Workplace-Based Assessment: Machine Learning Study of Competency-Based Medical Education

(2022) · doi:10.2196/30537 · Cited by 34 · see citing works

Gender identification on Twitter

Ikae, C., & Savoy, J. (2021) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.24541 · Cited by 34 · see citing works

Examining Multiple Features for Author Profiling

Weren, E. R. D., Kauer, A. U., Mizusaki, L. E. P., Moreira, V. P., de Oliveira, J. P. M., & Wives, L. K. (2014) · Journal of Information and Data Management · doi:10.5753/jidm.2014.1543 · Cited by 34 · see citing works

Utilizing Facebook pages of the political parties to automatically predict the political orientation of Facebook users

David, E., Zhitomirsky‐Geffet, M., Koppel, M., & Uzan, H. (2016) · Online Information Review · doi:10.1108/oir-09-2015-0308 · Cited by 34 · see citing works

Improving Feature Representation Based on a Neural Network for Author Profiling in Social Media Texts

Gómez-Adorno, H., Markov, I., Sidorov, G., Posadas-Durán, J.-P., Sánchez-Pérez, M. A., & Chanona-Hernández, L. (2016) · Computational Intelligence and Neuroscience · doi:10.1155/2016/1638936 · Cited by 34 · see citing works

Re-examining lexical and semantic attention: Dual-view graph convolutions enhanced BERT for academic paper rating

Xue, Z., He, G., Liu, J., Jiang, Z., Zhao, S. X., & Lu, W. (2022) · Information Processing & Management · doi:10.1016/j.ipm.2022.103216 · Cited by 33 · see citing works

Social-Media Early Adopters Don’t Count

Yeo, T. E. D. (2012) · Journal of Advertising Research · doi:10.2501/jar-52-3-297-308 · Cited by 33 · see citing works

A Multimodal Author Profiling System for Tweets

Suman, C., Naman, A., Saha, S., & Bhattacharyya, P. (2021) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2021.3082942 · Cited by 32 · see citing works

Language of Vandalism: Improving Wikipedia Vandalism Detection via Stylometric Analysis

Harpalani, M., Hart, M., SINGH, S., Johnson, R., & Choi, Y. (2011) · Cited by 32 · see citing works

On the use of distributed semantics of tweet metadata for user age prediction

Pandya, A., Oussalah, M., Monachesi, P., & Kostakos, P. (2019) · Future Generation Computer Systems · doi:10.1016/j.future.2019.08.018 · Cited by 30 · see citing works

On the Relevance of Syntactic and Discourse Features for Author Profiling and Identification

Juan Soler-Company, & Wanner, L. (2017) · Conference of the European Chapter of the Association for Computational Linguistics · doi:10.18653/v1/e17-2108 · Cited by 30 · see citing works

Establishing the Importance of Interaction and Presence to Student Learning in Online Environments

Kyei-Blankson, L., Ntuli, E., & Donnelly, H. (2019) · The Journal of Interactive Learning Research · Cited by 29 · see citing works

Authorship profiling in a forensic context

Nini, A. (2015) · Aston Publications Explorer (Aston University) · doi:10.48780/publications.aston.ac.uk.00025337 · Cited by 29 · see citing works

Untitled work

(2012) · Cited by 28 · see citing works

Evaluation of text representation schemes and distance measures for authorship linking

Kocher, M., & Savoy, J. (2018) · Digital Scholarship in the Humanities · doi:10.1093/llc/fqy013 · Cited by 28 · see citing works

Authorship and Style Attribution by Statistical Methods of Style Differentiation on the Phonological Level

Khomytska, I., & Teslyuk, V. (2018) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-01069-0_8 · Cited by 28 · see citing works

Development of methods, models, and means for the author attribution of a text

Khomytska, I., Teslyuk, V., Holovatyy, A., & Морушко, О. О. (2018) · Eastern-European Journal of Enterprise Technologies · doi:10.15587/1729-4061.2018.132052 · Cited by 27 · see citing works

A Study of Arabic Social Media Users—Posting Behavior and Author’s Gender Prediction

Al-Ghadir, A. I., & Azmi, A. M. (2018) · Cognitive Computation · doi:10.1007/s12559-018-9592-7 · Cited by 27 · see citing works

Survey on profiling age and gender of text authors

HaCohen‐Kerner, Y. (2022) · Expert Systems with Applications · doi:10.1016/j.eswa.2022.117140 · Cited by 25 · see citing works

Detecting Stylistic Deception

Juola, P. (2012) · Cited by 25 · see citing works

"Ruspersonality": A Russian corpus for authorship profiling and deception detection

Litvinova, T., Litvinlova, O., Zagorovskaya, O. V., Seredin, P. V., Sboev, A. G., & Romanchenko, O. V. (2016) · doi:10.1109/fruct.2016.7584767 · Cited by 25 · see citing works

Multilingual author profiling using word embedding averages and SVMs

Bayot, R., & Gonçalves, T. (2016) · International Conference on Software, Knowledge, Information Management and Applications (SKIMA) · doi:10.1109/skima.2016.7916251 · Cited by 25 · see citing works

Design and Implementation of a Machine Learning-Based Authorship Identification Model

Anwar, W., Bajwa, I. S., & Ramzan, S. (2019) · Scientific Programming · doi:10.1155/2019/9431073 · Cited by 25 · see citing works

Author Profiling: Predicting Age and Gender from Blogs Notebook for PAN at CLEF 2013

Santosh, K., Bansal, R., Shekhar, M., & Varma, V. (2013) · Cited by 24 · see citing works

Celebrity Profiling

Wiegmann, M., Stein, B., & Potthast, M. (2019) · Proceedings of the conference - Association for Computational Linguistics. Meeting · doi:10.18653/v1/p19-1249 · Cited by 24 · see citing works

How to Use less Features and Reach Better Performance in Author Gender Identification

Juan Soler-Company, & Wanner, L. (2014) · Language Resources and Evaluation · Cited by 23 · see citing works

A Random Forest Approach for Authorship Profiling

Palomino-Garibay, A., Camacho-González, A. T., Fierro-Villaneda, R. A., Hernández-Farías, I., Buscaldi, D., & Meza, I. (2015) · Institutional Research Information System University of Turin (University of Turin) · Cited by 23 · see citing works

Correlations and Potential Cross-Linguistic Indicators of Writing Style

Juola, P., Mikros, G. K., & Vinsick, S. (2018) · Journal of Quantitative Linguistics · doi:10.1080/09296174.2018.1458395 · Cited by 23 · see citing works

What makes a good biography?

Flek, L., Ferschke, O., & Gurevych, I. (2014) · International World Wide Web Conference (WWW) · doi:10.1145/2566486.2567972 · Cited by 23 · see citing works

Ranking to Learn and Learning to Rank: On the Role of Ranking in Pattern Recognition ApplicationsPreprint

Roffo, G. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1706.05933 · Cited by 22 · see citing works

The Stylometric Impacts of Ageing and Life Events on Identity

Kernot, D., Bossomaier, T. R. J., & Bradbury, R. (2017) · Journal of Quantitative Linguistics · doi:10.1080/09296174.2017.1405719 · Cited by 21 · see citing works

The translator’s visibility: Detecting translatorial fingerprints in contemporaneous parallel translations

Lynch, G., & Vogel, C. M. (2018) · Computer Speech & Language · doi:10.1016/j.csl.2018.05.002 · Cited by 21 · see citing works

Design and Usability of Interactive User Profiles for Online Health Communities

Hartzler, A. L., Weis, B., Cahill, C., Pratt, W., Park, A., Backonja, U., & McDonald, D. W. (2016) · ACM Transactions on Computer-Human Interaction · doi:10.1145/2903718 · Cited by 21 · see citing works

Using Part-of-Speech Sequences Frequencies in a Text to Predict Author Personality: a Corpus Study

Litvinova, T., Seredin, P. V., & Litvinova, O. (2015) · Indian Journal of Science and Technology · doi:10.17485/ijst/2015/v8is9/51103 · Cited by 21 · see citing works

External validity of sentiment mining reports: can current methods identify demographic biases, event biases, and manipulation of reviews?

Wijnhoven, F., & Bloemen, O. (2014) · Decision Support Systems · doi:10.1016/j.dss.2013.12.005 · Cited by 21 · see citing works

Distributed language representation for authorship attribution

Kocher, M., & Savoy, J. (2017) · Digital Scholarship in the Humanities · doi:10.1093/llc/fqx046 · Cited by 20 · see citing works

Author profiling for age and gender using combinations of features of various types

Ameer, I., Sidorov, G., & Nawab, R. M. A. (2019) · Journal of Intelligent & Fuzzy Systems · doi:10.3233/jifs-179031 · Cited by 20 · see citing works

Verifying authorship for forensic purposes: A computational protocol and its validation

Juola, P. (2021) · Forensic Science International · doi:10.1016/j.forsciint.2021.110824 · Cited by 20 · see citing works

An evaluation of authorship attribution using random forests

Khonji, M., Iraqi, Y., & Jones, A. (2015) · International Conference on Information and Communication Technology Research (ICTRC) · doi:10.1109/ictrc.2015.7156423 · Cited by 20 · see citing works

Computational authorship attribution in medieval Latin corpora: the case of the Monk of Lido (ca. 1101–08) and Gallus Anonymous (ca. 1113–17)

Kabala, J. (2018) · Language Resources and Evaluation · doi:10.1007/s10579-018-9424-0 · Cited by 20 · see citing works

Lexical Patterns in Adolescents’ Online Writing: The Impact of Age, Gender, and Education

Hilte, L., Daelemans, W. M. P., & Vandekerckhove, R. (2020) · Written Communication · doi:10.1177/0741088320917921 · Cited by 20 · see citing works

A Step Towards Detecting Online Grooming -- Identifying Adults Pretending to be Children

Ashcroft, M., Kaati, L., & Meyer, M. (2015) · 2015 European Intelligence and Security Informatics Conference · doi:10.1109/eisic.2015.41 · Cited by 18 · see citing works

Automatic Extraction of Personality from Text: Challenges and Opportunities

Akrami, N., Fernquist, J., Isbister, T., Kaati, L., & Pelzer, B. (2019) · IEEE International Conference on Big Data (BigData) · doi:10.1109/bigdata47090.2019.9005467 · Cited by 18 · see citing works

Authorship Verification - An Approach based on Random ForestPreprint

Maitra, P., Ghosh, S., & Das, D. (2016) · arXiv (Cornell University) · doi:10.48550/arxiv.1607.08885 · Cited by 18 · see citing works

Prediction of Personality Traits in Twitter Users with Latent Features

Moreno, D. R. J., Gómez, J. C., Almanza-Ojeda, D.-L., & Ibarra-Manzano, M.-A. (2019) · International Conference on Electronics, Communications, and Computers · doi:10.1109/conielecomp.2019.8673242 · Cited by 17 · see citing works

Domain-based Latent Personal Analysis and its use for impersonation detection in social media

Mokryn, O., & Shoshan, H. B. (2021) · User Modeling and User-Adapted Interaction · doi:10.1007/s11257-021-09295-7 · Cited by 17 · see citing works

Authorship Attribution: A Comparative Study of Three Text Corpora and Three Languages

Savoy, J. (2012) · Journal of Quantitative Linguistics · doi:10.1080/09296174.2012.659003 · Cited by 17 · see citing works

Emphasizing personal information for Author Profiling: New approaches for term selection and weighting

Ortega-Mendoza, R. M., López-Monroy, A. P., Franco-Árcega, A., & Montes-y-Gómez, M. (2018) · Knowledge-Based Systems · doi:10.1016/j.knosys.2018.01.014 · Cited by 17 · see citing works

Authorship attribution with thousands of candidate authors

Koppel, M., Schler, J., Argamon, S., & Messeri, E. (2006) · Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval · doi:10.1145/1148170.1148304 · Cited by 90 · see citing works

M. Chaurasia et al. / International Journal on Computer Science and Engineering (IJCSE) Reclaiming Individuality of Mysterious Passage

Chaurasia, M. (2013)

Optimizing Authorship Profiling of Online Messages.

Opesade, A. O. (2016)

Automatically Determining an Anonymous Author’s Native Language

Koppel, M., Schler, J., & Zigdon, K. (2005) · Lecture notes in computer science · doi:10.1007/11427995_17 · Cited by 78 · see citing works

Methods and software for significant indicators determination of the natural language texts author profile

Shynkarenko, V., & Demidovich, I. M. (2023) · PROBLEMS IN PROGRAMMING · doi:10.15407/pp2023.03.022