The DOI matches its Crossref record; 25 of the 26 references it cites were found in a registry or an index.
Large Scale Personality Classification of Bloggers
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In the citing paper
“Not limited to categorical language they found open-vocabulary features, such as bigrams, to be better predictors than LIWC features.”
From Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach (2013) · cites this paper as [67]
In the citing paper
“When we do such an approach, our scores are in similar ranges to such literature: to classification accuracy.”
From Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach (2013) · cites this paper as [67]
Citations
Cites
Data Mining: Practical Machine Learning Tools and Techniques
Witten, I. H., Frank, E., & Hall, M. A. (2011) · Elsevier eBooks · doi:10.1016/c2009-0-19715-5 · Cited by 25,543
Witten, I. H. (2008) · Cited by 9,143
An algorithm for suffix stripping
Porter, M. F. (1980) · Program · doi:10.1108/eb046814 · Cited by 8,096
LIBLINEAR: A Library for Large Linear Classification
Fan, R.-E., Chang, K., Hsieh, C., Xiang-rui, W., & Lin, C. (2008) · doi:10.5555/1390681.1442794 · Cited by 6,684
Fast Training of Support Vector Machines Using Sequential Minimal Optimization
Platt, J. C. (1998) · The MIT Press eBooks · doi:10.7551/mitpress/1130.003.0016 · Cited by 5,501
(1997) · Choice Reviews Online · doi:10.5860/choice.34-3702 · Cited by 4,872
Linguistic styles: language use as an individual difference
Pennebaker, J. W., & King, L. A. (1999) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.77.6.1296 · Cited by 1,961
Using linguistic cues for the automatic recognition of personality in conversation and text
Mairesse, F., Walker, M. A., Mehl, M. R., & Moore, R. K. (2007) · Journal of Artificial Intelligence Research · doi:10.1613/jair.2349 · Cited by 1,046
Witten, I. H., & Frank, E. (2005) · Cited by 815
Mehl, M. R., Gosling, S. D., & Pennebaker, J. W. (2006) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.90.5.862 · Cited by 764
Research works printed but not linked: 3
- Argamon, S., Dhawle, S., Koppel, M., Pennebaker, J.W.: Lexical predictors of personality type. In: Proceedings of the 2005 Joint Annual Meeting of the Interface and the Classification Society of North America (2005)
- Estival, D., Gaustad, T., Pham, S.B., Radford, W., Hutchinson, B.: Author profiling for english emails. In: 10th Conference of the Pacific Association for Computational Linguistics (PACLING 2007), pp. 262–272 (2007)
- Pennebaker, J.W., Francis, M.E.: Linguistic Inquiry and Word Count, 1st edn. Lawrence Erlbaum, Mahwah (1999)
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Omheni, N., Kalboussi, A., Mazhoud, O., & Kacem, A. H. (2017) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-016-0124-x · Cited by 4
Development and validation of an artificial intelligence chatbot to assess personalityPreprint
Sun, T., Roberts, B. W., Drasgow, F., & Zhou, M. X. (2024) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/ahtr9 · Cited by 6
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Tanaka, H., Yamada, W., & Ochiai, K. (2021) · Asian CHI Symposium · doi:10.1145/3429360.3468184 · Cited by 3
Artificial Intelligence and Personality Tests: Connecting Opportunities
Cordero-Gutiérrez, R. (2022) · Journal of Sustainable Marketing · doi:10.51300/jidm-2022-58 · Cited by 3
Predicting Big-Five Personality for Micro-blog Based on Robust Multi-task Learning
Huang, S., Zheng, J., Xue, D., & Zhao, N. (2017) · Communications in computer and information science · doi:10.1007/978-981-10-6385-5_41 · Cited by 3
Universitat Autònoma de Barcelona, 0. B. (. D. V., Rodríguez, P., Gonzàlez, J., Gonfaus, J. M., & Roca, F. X. (2019) · International Journal of Social Science and Humanity · doi:10.18178/ijssh.2019.v9.981 · Cited by 3
Text mining and rating prediction with topical user models
Seroussi, Y. (2017) · Figshare · doi:10.26180/4664473 · Cited by 3
Sun, T., Drasgow, F., & Chen, Y. R. (2024) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/4xzpm · Cited by 3
Melonashi, E. (2017) · Advances in human and social aspects of technology book series · doi:10.4018/978-1-5225-1868-6.ch004 · Cited by 2
An OOV-Aware Curation Process for Psycholinguistic Analysis of Social Media Text - A Hybrid Approach
Liu, K., & Li, Y. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-64823-7_11 · Cited by 2
Moshkin, V., Yarushkina, N. G., & Shakurov, R. A. (2021) · Lecture notes in networks and systems · doi:10.1007/978-3-030-87178-9_48 · Cited by 2
Personality Trait Prediction Using Text Data from Social Media
Sousa, L., & Sequeira, J. S. (2025) · Lecture notes in networks and systems · doi:10.1007/978-3-031-92011-0_27 · Cited by 1
Maharani, W., & Gani, P. H. (2025) · Neural Computing and Applications · doi:10.1007/s00521-025-11607-6 · Cited by 1
Personalized ambient environments using multiple social networks
Bhardwaj, S., Saini, M. K., Atrey, P. K., & Saddik, A. E. (2014) · IEEE International Conference on Multimedia and Expo workshops · doi:10.1109/icmew.2014.6890663 · Cited by 1
Personality Mining from Biographical Data with the "Adjectival Marker" Technique.
Poddar, S., Kattagoni, V., & Singh, N. (2015) · Cited by 1
Yarushkina, N. G., Moshkin, V., & Andreev, I. A. (2022) · Ontology of Designing · doi:10.18287/2223-9537-2022-12-1-82-92 · Cited by 1
Patel, N., Trivedi, S., Bhalani, V., & Faruqui, N. (2024) · International Conference on Computers and Artificial Intelligence Technology (CAIT) · doi:10.1109/cait64506.2024.10963094 · Cited by 1
The Bloggers' Personality Traits Categorizing Algorithm Based on Text Features Analysis
Ou, G., Li, J., Guo, J., Zhao-quan, C. A. I., & Lu, M. (2016) · International Conference on Materials Engineering, Manufacturing Technology and Control (ICMEMTC) · doi:10.2991/icmemtc-16.2016.1 · Cited by 1
ANNOTATION-BASED LEARNER’S PERSONALITY MODELING IN DISTANCE LEARNING CONTEXT
Omheni, N., Kalboussi, A., Mazhoud, O., & Kacem, A. H. (2016) · Turkish Online Journal of Distance Education · doi:10.17718/tojde.43130 · Cited by 1
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Modeling User Portrait Using Psycholinguistic Analysis of Social Media Data
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Effect of Data Size and Machine Translation on the Accuracy of Automatic Personality Classification
Fukazawa, Y., Ito, A., & Nose, T. (2023) · Smart innovation, systems and technologies · doi:10.1007/978-981-99-0105-0_36 · Cited by 1
Reconhecimento de traços de personalidade com base em textos
da Silva, B. B. C. (2018) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/d.100.2018.tde-04052018-192006 · Cited by 1
Carvalho, L. A. M. C., & Nunes, M. A. S. N. (2013) · Scientia Plena
Interest Mining Algorithm Based on Blog Information
Ou, G., Xu, C. J., Zhan, H. X., Qin, Y. Y., & Huang, H. P. (2013) · Applied Mechanics and Materials · doi:10.4028/www.scientific.net/amm.423-426.2712
Modelling and Analysing Behaviours and Emotions via Complex User InteractionsPreprint
Mostafa, M. M. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1902.07683
Incorporating Textual Information on User Behavior for Personality Prediction
Yamada, K. C., Sasano, R., & Takeda, K. (2020) · Transactions of the Japanese Society for Artificial Intelligence · doi:10.1527/tjsai.b-k22
de Oliveira, A. P., & Seruffo, M. C. D. R. (2021) · Anais do Brazilian Workshop on Social Network Analysis and Mining (BraSNAM) · doi:10.5753/brasnam.2021.16126
Melonashi, E. (2019) · IGI Global eBooks · doi:10.4018/978-1-5225-7909-0.ch074
The Language of the Creative Person
Ahmed, S. T. (2021) · San José State University ScholarWorks (San Jose State University) · doi:10.31979/etd.wnfw-ymf4
Personality Analysis of Entrepreneurial Text for Entrepreneurship Education
Ito, A., Takeda, K., & Ishida, S. (2023) · doi:10.1109/icnlp58431.2023.00047
Using Machine Learning to Advance Personality Assessment and TheoryPreprint
Bleidorn, W., & Hopwood, C. J. (2018) · doi:10.31234/osf.io/ctr5g_v1
Ensemble Pre-trained Weight Deep Neural Network For Personality Classification on Social Media Posts
Sukhamsri, S. (2025) · International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) · doi:10.1109/ecti-con64996.2025.11101538
Metadata
- Authors
- Iacobelli, F., Gill, A. J., Nowson, S., & Oberlander, J.
- Affiliations
- Northeastern Illinois University (US)
- University of Surrey (GB)
- University of Edinburgh (GB)
- ORCID
- Iacobelli, Francisco
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2011
- Pages
- 568-577
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W1562816477
- Cited by
- 136
- References
- 26
- Citations by year
- 2025: 3 · 2024: 9 · 2023: 4 · 2022: 9 · 2021: 14 · 2020: 13 · 2019: 16 · 2018: 14 · 2017: 11 · 2016: 12 · 2015: 9 · 2014: 10 · 2013: 8 · 2012: 4
- FWCI
- 15.04
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Lecture notes in computer science (publishedVersion)
- Open Research (University of Surrey) (submittedVersion)
- Surrey Research Insight Open Access (The University of Surrey) (submittedVersion)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion)
- Topics
- Social Sciences › Psychology › Social Psychology › Mental Health via Writing
- Physical Sciences › Computer Science › Artificial Intelligence › Authorship Attribution and Profiling
- Physical Sciences › Computer Science › Artificial Intelligence › Sentiment Analysis and Opinion Mining
- Keywords
- personality classification, bloggers, Big Five personality traits, feature selection, LIWC, language and personality, online text analysis
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