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 9,897

Machine learning in automated text categorization

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

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

Large-Scale Bayesian Logistic Regression for Text Categorization

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

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

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

Authorship Attribution

Juola, P. (2008) · Foundations and Trends® in Information Retrieval · doi:10.1561/1500000005 · Cited by 530

The Handbook of Language Variation and Change

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

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

From fingerprint to writeprint

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

Gender identification in Russian written texts

Litvinova, T., Seredin, P. V., Litvinova, O., & Zagorovskaya, O. V. (2017) · XLinguae · doi:10.18355/xl.2017.10.03.14 · Cited by 5

Author Profiling Approach for Location Prediction

Reddy, G. S., Mohan, T. M., & Reddy, T. R. (2018) · Advances in intelligent systems and computing · doi:10.1007/978-981-13-1580-0_37 · Cited by 5

An empirical method using features combination for Arabic native language identification

Mechti, S., Abbassi, A., Belguith, L. H., & Faïz, R. (2016) · IEEE/ACS International Conference on Computer Systems and Applications (AICCSA) · doi:10.1109/aiccsa.2016.7945787 · Cited by 5

Author Profiling in the Wild

Kaati, L., Lundeqvist, E., Shrestha, A., & Svensson, M. (2017) · European Intelligence and Security Informatics Conference · doi:10.1109/eisic.2017.32 · Cited by 5

Multi-task Learning for Author Profiling with Hierarchical Features

Jiang, Z., Yu, S., Qu, Q., Yang, M., Luo, J., & Liu, J. (2018) · International World Wide Web Conference (WWW) · doi:10.1145/3184558.3186926 · Cited by 5

Gender Differences in the Use of Social Media: Australian Postgraduate Students’ Evidence

Fashami, A. M. (2020) · International Journal of Social Science and Human Research · doi:10.47191/ijsshr/v3-i12-03 · Cited by 5

Online social networks as sensors in smart environments

Barbosa, R. R., & Santos, R. (2016) · Global Information Infrastructure and Networking Symposium · doi:10.1109/giis.2016.7814950 · Cited by 5

Advancing Author Gender Identification in Modern Standard Arabic with Innovative Deep Learning and Textual Feature Techniques

Himdi, H., & Shaalan, K. F. (2024) · Information · doi:10.3390/info15120779 · Cited by 5

Determinación de género y edad en blogs en español mediante enfoques basados en perfil

Funez, D. G., Cagnina, L., & Errecalde, M. L. (2013) · El Servicio de Difusión de la Creación Intelectual (National University of La Plata) · Cited by 4

Two-layer classification and distinguished representations of users and documents for grouping and authorship identification

Mohtasseb, H., & Ahmed, A. A. (2009) · IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS) · doi:10.1109/icicisys.2009.5357676 · Cited by 4

Gender Profiling from PhD Theses Using k-Nearest Neighbour and Sequential Minimal Optimisation

Ramnial, H., Panchoo, S., & Pudaruth, S. (2015) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-23258-4_32 · Cited by 4

Native Language Identification with PPM

Bobicev, V. (2013) · Cited by 4

Learning Multimodal Gender Profile using Neural Networks

Estruch, C. P., Paredes, R., & Rosso, P. (2017) · International conference Recent advances in natural language processing · doi:10.26615/978-954-452-049-6_075 · Cited by 4

Predicting Learners' Demographics Characteristics

Aljohani, T., & Cristea, A. I. (2019) · International Conference on Information and Education Innovations (ICIEI) · doi:10.1145/3345094.3345119 · Cited by 4

Mathematical Methods Applied for Authorship Attribution on the Phonological Level

Khomytska, I., & Teslyuk, V. (2019) · IEEE International Conference on Computer Sciences and Information Technologies (CSIT) · doi:10.1109/stc-csit.2019.8929859 · Cited by 4

A decision system for computational authors profiling: From machine learning to deep learning

Mechti, S., Krichen, M., Noureddine, D. B., & Belguith, L. H. (2020) · Concurrency and Computation Practice and Experience · doi:10.1002/cpe.5985 · Cited by 4

Automatic Detection of Hidden Communities in the Texts of Russian Social Network Corpus

Mamaev, I. D., & Mitrofanova, O. A. (2020) · Communications in computer and information science · doi:10.1007/978-3-030-59082-6_2 · Cited by 4

A White-Box Sociolinguistic Model for Gender Detection

Sánchez, D. M., Moreno, A., & Jiménez‐López, M. D. (2022) · Applied Sciences · doi:10.3390/app12052676 · Cited by 4

Taking the Pulse of US College Campuses with Location-Based Anonymous Mobile Apps

Wu, Y., Minkus, T., & Ross, K. W. (2017) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/3078843 · Cited by 4

A New Term Weight Measure for Gender and Age Prediction of the Authors by analyzing their Written Texts

Seelam, S. S. R., Kumar, S., Chand, M. G., & Raghunadha, R. T. (2018) · IEEE International Advance Computing Conference · doi:10.1109/iadcc.2018.8692092 · Cited by 4

Machine Learning Models

Savoy, J. (2020) · Springer eBooks · doi:10.1007/978-3-030-53360-1_6 · Cited by 5

A META-ANALYTIC REVIEW OF SOCIAL MEDIA STUDIES

Wang, Y., Min, Q., & Liu, Z. (2014) · Journal of the Association for Information Systems · Cited by 4

Authorship Attribution in Health Forums

Bobicev, V., Sokolova, M., Emam, K. E., & Matwin, S. (2013) · Cited by 4

ITALICA at PAN 2013: An Ensemble Learning Approach to Author Profiling Notebook for PAN at CLEF 2013.

Cruz, F. L., Haro, R. R., & Ortega, F. J. (2013) · Cited by 4

Author profiling using LDA and Maximum Entropy Notebook for PAN at CLEF 2013

Pavan, A., Mogadala, A., & Varma, V. (2013) · Cited by 4

Authorship and Time Attribution of Arabic Texts Using JGAAP

Juola, P., Milička, J., & Zemánek, P. (2017) · Studies in computational intelligence · doi:10.1007/978-3-319-67056-0_16 · Cited by 4

Open-Mindedness and Style Coordination in Argumentative Discussions

Ben-Haim, A., & Tsur, O. (2021) · Conference of the European Chapter of the Association for Computational Linguistics · doi:10.18653/v1/2021.eacl-main.161 · Cited by 4

Profiling Idioms:

Može, S., & Mohamed, E. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-30135-4_23 · Cited by 4

Investigating Writing Style Development in High SchoolPreprint

Lorenzen, S. S., Hjuler, N., & Alstrup, S. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1906.03072 · Cited by 4

Methods of Computational Linguistics and Natural Language Processing: Opportunities and Limitations for Personality Psychology Tasks

Кузьмина, А. С., Lifshits, M. A., & Kostenko, V. (2022) · Journal of Modern Foreign Psychology · doi:10.17759/jmfp.2022110110 · Cited by 4

Artificial Intelligence and Personality Tests: Connecting Opportunities

Cordero-Gutiérrez, R. (2022) · Journal of Sustainable Marketing · doi:10.51300/jidm-2022-58 · Cited by 3

Content-Based Conflict of Interest Detection on Wikipedia

Orizu, U., & He, Y. (2018) · Language Resources and Evaluation Conference (LREC) · doi:10.63317/2s27hupiyzfx · Cited by 3

Introduction to Stylistic Models and Applications

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

Towards Author Profiling from Modern Standard Arabic Texts: A Review

Khoudja, A. M., Loukam, M., & Belkredim, F. Z. (2021) · Lecture notes in networks and systems · doi:10.1007/978-981-16-2377-6_69 · Cited by 3

Identifying Gender of Internet Users Based on Access History

Le, T. H., Hang, N. T., Huy, D. T. N., Thanh, N. T. P., & Dung, N. T. (2021) · Journal of University of Shanghai for Science and Technology · doi:10.51201/jusst/21/08365 · Cited by 3

Author Profiling: Predicting Gender and Age from Blogs, Reviews & Social Media

Yatam, S. S., & Reddy, T. R. (2014) · Cited by 3

Co-occurrence-based indicators for authorship analysis

Suzuki, T., Kawamura, S., Yoshikane, F., Kageura, K., & Aizawa, A. (2012) · Literary and Linguistic Computing · doi:10.1093/llc/fqs011 · Cited by 3

Automatic Identification of Learners' Language Background Based on Their Writing in Czech

Aharodnik, K., Chang, M., Feldman, A., & Hana, J. (2013) · International Joint Conference on Natural Language Processing · Cited by 3

Extraction of High-Level Semantically Rich Features from Natural Language Text.

Bogdanova, D. (2011) · Cited by 3

Markers of translator gender: Do they really matter?

Shlesinger, M., Koppel, M., Ordan, N., & Malkiel, B. (2010) · Cited by 3

Stylometric Techniques for Multiple Author Clustering

Kernot, D., Bossomaier, T. R. J., & Bradbury, R. (2017) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2017.080301 · Cited by 3

An Approach for Identifying Author Profiles of Blogs

Zhang, C., Guo, Y., Wu, J., Wang, S., Niu, Z., & Cheng, W. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-69179-4_33 · Cited by 3

A Novel Approach for Predicting Nativity Language of the Authors by Analyzing Their Written Texts

Para, U., Mohan, T. M., Naik, S., & Reddy, T. R. (2019) · Lecture notes in networks and systems · doi:10.1007/978-981-13-7082-3_3 · Cited by 3

Training Temporal and NLP Features via Extremely Randomised Trees for Educational Level Classification

Aljohani, T., & Cristea, A. I. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-80421-3_17 · Cited by 3

Chat biometrics

Kuzu, R. S., & Salah, A. A. (2018) · IET Biometrics · doi:10.1049/iet-bmt.2017.0121 · Cited by 3

Author Clustering Using SPATIUM

Kocher, M., & Savoy, J. (2017) · ACM/IEEE Joint Conference on Digital Libraries · doi:10.1109/jcdl.2017.7991586 · Cited by 3

An Experimental Study on Authorship Identification for Cyber Forensics

Nirkhi, S. M., Dharaskar, R. V., & Thakare, V. M. (2015) · Cited by 3

APPROACH FOR MINIMIZATION OF PHONEME GROUPS IN AUTHORSHIP ATTRIBUTION

Khomytska, I., Teslyuk, V., Bazylevych, I., & Shylinska, I. (2020) · International Journal of Computing · doi:10.47839/ijc.19.1.1693 · Cited by 3

A Deep Learning Model to Predict Gender, Age and Occupation of the Celebrities based on Tweets Followers.

Alroobaea, R., Almulihi, A. H., Alharithi, F. S., Mechti, S., Krichen, M., & Belguith, L. H. (2020) · CLEF (Working Notes) · Cited by 3

Text mining and rating prediction with topical user models

Seroussi, Y. (2017) · Figshare · doi:10.26180/4664473 · Cited by 3

Active Linguistic Authentication Using Real-Time Stylometric Evaluation for Multi-Modal Decision Fusion

Stolerman, A., Fridman, A., Greenstadt, R., Brennan, P., & Juola, P. (2014) · Lecture notes in computer science · doi:10.1007/978-3-662-44952-3_12 · Cited by 2

Framework for user identification using writeprint approach

Murkute, A. M., & Gadge, J. (2015) · International Conference on Technologies for Sustainable Development (ICTSD) · doi:10.1109/ictsd.2015.7095924 · Cited by 2

Irony detection based on semantic similarity

Toropova, A. V. (2014) · Informatics and Automation · doi:10.15622/sp.24.12 · Cited by 2

Cross Domain Author Profiling Task in Spanish Language: An Experimental Study

Ucelay, M. J. G., Villegas, M. P., Cagnina, L., & Errecalde, M. L. (2015) · Journal of Computer Science and Technology · Cited by 2

Applications of Machine Learning for Linguistic Analysis of Texts

Torney, R., Yearwood, J. L., Vamplew, P. W., & Kelarev, A. V. (2012) · IGI Global eBooks · doi:10.4018/978-1-4666-1833-6.ch008 · Cited by 2

The Software for Authorship and Style Attribution

Khomytska, I., & Teslyuk, V. (2019) · International Conference on Experience of Designing and Applications of CAD Systems in Microelectronics · doi:10.1109/cadsm.2019.8779346 · Cited by 2

Authorship Analysis

Athira, U., & Thampi, S. M. (2015) · Advances in digital crime, forensics, and cyber terrorism book series · doi:10.4018/978-1-4666-8345-7.ch010 · Cited by 2

Identification of Age and Gender in Pinterest by Combining Textual and Deep Visual Features

Bravo-Marmolejo, S.-P., Moreno, J. L., Gómez, J. C., Pérez-Martínez, C., Ibarra-Manzano, M.-A., & Almanza-Ojeda, D.-L. (2019) · Communications in computer and information science · doi:10.1007/978-3-030-30275-7_24 · Cited by 2

To What Extent Can Text Classification Help with Making Inferences About Students’ Understanding

Beaumont, A. J., & Al-Shaghdari, T. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-37599-7_31 · Cited by 2

Advanced Models for Stylometric Applications

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

Methodology to determine the age of the text’s author based on readability and lexical diversity metrics

Sobolev, A. A., Fedotova, A. M., Kurtukova, A., Romanov, A. S., & Shelupanov, A. A. (2022) · Proceedings of Tomsk State University of Control Systems and Radioelectronics · doi:10.21293/1818-0442-2022-25-2-45-52 · Cited by 2

Predicting Personality Traits from Spontaneous Modern Greek Text: Overcoming the Barriers

Komianos, V., Moustaka, E., Andreou, M., Banou, E., Fanarioti, S., & Kermanidis, K. L. (2012) · IFIP International Federation for Information Processing/IFIP · doi:10.1007/978-3-642-33412-2_54 · Cited by 2

Author-Profile System Development Based on Software Reuse of Open Source Components

Nazareth, D., Asnani, K. S., & Rodrigues, O. (2014) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-12012-6_69 · Cited by 2

Anonymous Author Similarity Identification

Kebede, A. M., Tefrie, K. G., & Sohn, K.-A. (2015) · International Conference on IT Convergence and Security (ICITCS) · doi:10.1109/icitcs.2015.7292949 · Cited by 2

Simple and efficient classification scheme based on specific vocabulary

Savoy, J., & Zubaryeva, O. (2012) · Computational Management Science · doi:10.1007/s10287-012-0149-z · Cited by 2

Author’s Native Language Identification from Web-Based Texts

Tofıghı, P., Köse, C., & Rouka, L. (2012) · International Journal of Computer and Communication Engineering · doi:10.7763/ijcce.2012.v1.14 · Cited by 2

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Pentel, A. (2015) · International Conference on User Modeling, Adaptation, and Personalization · Cited by 2

Socialized User Modeling in Microblogging Scenarios for Interest Prediction

Huang, M., Zhang, B., Zou, G., Gu, C., Wu, P., Cheng, S., & Zhang, Z. (2016) · IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech) · doi:10.1109/dasc-picom-datacom-cyberscitec.2016.39 · Cited by 2

SU@PAN'2015: Experiments in author profiling

Kiprov, Y., Hardalov, M., Nakov, P., & Koychev, I. K. (2015) · CLEF (Working Notes) · Cited by 2

Predicting Budget from Transportation Research Grant Description: An Exploratory Analysis of Text Mining and Machine Learning Techniques

Singhal, A., Gopalakrishnan, K., & Khaitan, S. K. (2017) · DOAJ (DOAJ: Directory of Open Access Journals) · doi:10.22115/scce.2017.49604 · Cited by 2

Author Profiling: Gender Prediction from Tweets and Images: Notebook for PAN at CLEF 2018.

HaCohen‐Kerner, Y., Yigal, Y., Shayovitz, E., Miller, D., & Breckon, T. P. (2018) · Durham Research Online (Durham University) · Cited by 2

A New Document Representation Approach for Gender Prediction Using Author Profiles

Reddy, T. R., Lakshminarayana, M., Vardhan, B. V., Prasad, K. S., & Reddy, E. A. (2018) · Advances in intelligent systems and computing · doi:10.1007/978-981-13-1580-0_4 · Cited by 2

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

Analyzing the Psychological and Social Contents of Evidence—Experimental Comparison between Guessing, Naturalistic Observation, and Systematic Analysis

Haas, H. S., Fuerst, M. P., Tönz, P., & Gubser‐Ernst, J. (2015) · Journal of Forensic Sciences · doi:10.1111/1556-4029.12703 · Cited by 2

Gender Prediction for Expert Finding Task

Ali, D., Missen, M. M. S., Akhtar, N., Salamat, N., Asmat, H., & Firdous, A. (2016) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2016.070525 · Cited by 2

Changes in Psycholinguistic Attributes of Social Media Users Before, During, and After Self-Reported Influenza Symptoms

Flek, L., Lampos, V., & Cox, I. J. (2018) · Social Media Mining for Health Research and Applications Workshop and Shared Tasks (SMM4H) · doi:10.18653/v1/w18-5905 · Cited by 2

Social Gender Construction in Political Context: A Corpus-Based Study of Lexical Differences across Genders

Ruonan, W., & He, J. (2020) · Linguistics and Literature Studies · doi:10.13189/lls.2020.080305 · Cited by 2

Classifying the Social Media Author Profile Through a Multimodal Representation

Álvarez‐Carmona, M. Á., Villatoro-Tello, E., Villaseñor-Pineda, L., & Montes-y-Gómez, M. (2022) · Studies in computational intelligence · doi:10.1007/978-981-19-1021-0_3 · Cited by 2

Automatic IQ estimation using stylometry methods.

Abramov, P. S. (2018) · doi:10.18297/etd/2922 · Cited by 2

Proceedings of the 2018 EMNLP Workshop SMM4H: The 3rd Social Media Mining for Health Applications Workshop & Shared Task

(2018) · doi:10.18653/v1/w18-59 · Cited by 2

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Khazova, A. (2020) · Vestnik NSU Series Linguistics and Intercultural Communication · doi:10.25205/1818-7935-2020-18-1-22-32 · Cited by 1

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Mechti, S., Khoufi, N., & Belguith, L. H. (2019) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-16660-1_20 · Cited by 1

Procesamiento de lenguaje natural aplicado a datos masivos generados en medios sociales

Española, C. D. E. D. L. R. A., Porta, J., Sánchez, J. L. S., & Española, C. D. E. D. L. R. A. (2021) · Revista Española de Lingüística · doi:10.31810/rsel.51.2.7 · Cited by 1

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Felser, J., Preuß, S., Labudde, D., & Spranger, M. (2025) · Nomos Verlagsgesellschaft mbH & Co. KG eBooks · doi:10.5771/9783748903291-263 · Cited by 1

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Khomenko, A., Komratova, A., Isakov, D., Balba, D., & Khudyakova, M. V. (2025) · Computational Linguistics and Intellectual Technologies · doi:10.28995/2075-7182-2025-23-147-157 · Cited by 1

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Hernandez-Felipe, L. M., Ortega-Mendoza, R. M., Sánchez-Vega, F., Castro-Espinoza, F. A., & López-Monroy, A. P. (2025) · Health Information Science and Systems · doi:10.1007/s13755-025-00381-3 · Cited by 1

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Kocagul, H. (2025) · doi:10.7816/imuling-15-2025-01x011 · Cited by 1

Social Media Corporate User Identification Using Text Classification

Yang, Z., Wołkowicz, J., & Kešelj, V. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-06483-3_39 · Cited by 1

Using Signals from Text to Identify Roles within a Group

Baron, A., Punyakanok, V., & Freedman, M. (2012) · IEEE International Conference on Semantic Computing (ICSC) · doi:10.1109/icsc.2012.57 · Cited by 1

On the role of poetic versus nonpoetic features in “kindred” and diachronic poetry attribution

Fegley, B. D., & Torvik, V. I. (2012) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.22727 · Cited by 1

Classification Based on Specific Vocabulary

Savoy, J., & Zubaryeva, O. (2011) · IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) · doi:10.1109/wi-iat.2011.19 · Cited by 1

Categorising texts more accurately with field association terms

Dorji, T. C. (2015) · International Journal of Computer Applications in Technology · doi:10.1504/ijcat.2015.071976 · Cited by 1

Information Retrieval Features for Personality Traits

Weren, E. R. D. (2015) · CLEF (Working Notes) · Cited by 1

DeCAT 2015 - Workshop on Deep Content Analytics Techniques for Personalized and Intelligent Services

Aroyo, L. M., Houben, G., Lops, P., Musto, C., Semeraro, G. M., & Moro, A. I. (2015) · Cited by 1

Did William Shakespeare and Thomas Kyd Write Edward III?

Kernot, D., Bossomaier, T. R. J., & Bradbury, R. (2017) · International Journal on Natural Language Computing · doi:10.5121/ijnlc.2017.6601 · Cited by 1

A Call for Clarity in Contemporary Authorship Attribution Evaluation

Riddell, A. B., Wang, H., & Juola, P. (2021) · International conference Recent advances in natural language processing · doi:10.26615/978-954-452-072-4_132 · Cited by 1

Automatic IQ Estimation from Written text using Stylometry Methods

Adebayo, G. O., & Yampolskiy, R. V. (2023) · International Conference on Information System and Data Mining (ICISDM) · doi:10.1145/3603765.3603769 · Cited by 1

Who Wrote this Novel? Authorship Attribution across Three Languages

Savoy, J. (2011) · Travaux neuchâtelois de linguistique · doi:10.26034/tranel.2011.2792 · Cited by 1

Authorship Attribution of Web Texts with Korean Language Applying Deep Learning Method

Park, C. Y., Jang, I. H., & Lee, Z. K. (2016) · Journal of the Korea society of IT services · doi:10.9716/kits.2016.15.3.147 · Cited by 1

Identifying Sensible Participants in Online Discussions

Jain, S. (2016) · International Workshop on Natural Language Processing for Social Media (SocialNLP) · doi:10.18653/v1/w16-6207 · Cited by 1

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

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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

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