APR (Automatic Personality Recognition) 2016


automatic recognition of personality / automatic personality recognition / personality recognizer (or recogniser)

Notes:

Automatic personality recognition may also be known as automatic recognition of personality. An automatic personality recognition system may also be called a personality recognizer (or recogniSer).

  • Automated personality extraction
  • Automatic personality perception
  • Character modeling
  • Computational personality recognition
  • Emotion recognizer
  • Mood recognizer
  • Personality computing
  • Personality extraction system
  • Personality mining

Resources:

Wikipedia:

References:

See also:

Personality Engineering


Automatic personality recognition of authors using big five factor model
KC Pramodh, Y Vijayalata – Advances in Computer Applications …, 2016 – ieeexplore.ieee.org
Abstract: Automatic personality recognition aims to assign a personal profile to the author by measuring the Big Five personality factors automatically. The present paper focuses on an approach developed to recognize the personality of the author by evaluating their writings.

Quality Assessment of Subjectively Labelled Training Data for Improving the Reliability of Status Perception
Y Dai – 2016 – pdfs.semanticscholar.org
… that use this information. Reference [3] discusses personality computing domains concerned with personality and considers three main problems: automatic personality recognition, perception, and synthesis. All of these approaches …

Unobtrusive Recognition of Personality Traits with Health Impact: A Literature Review with a Focus on Conscientiousness and Neuroticism.
D Rüegger, T Kowatsch, M Stieger, M Allemand – MCIS, 2016 – aisel.aisnet.org
… 2 Background: Automatic Personality Recognition & Machine Learning … Computationally determining self-assessed personality of individuals from data has been termed Automatic Personality Recognition (APR) (Vinciarelli and Mohammadi, 2014). …

Unobtrusive Personality Recognition for Health Interventions: A Literature Review
D Rüegger – cocoa.ethz.ch
… 2 Background: Automatic Personality Recognition & Machine Learning … Computationally determining self-assessed personality of individuals from data has been termed Automatic Personality Recognition (APR) (Vinciarelli and Mohammadi, 2014). …

Application of Multi-Layer Self-Organizing Maps (MLSOM) on analyzing Facebook activities
LE Esfahani – 2016 – search.proquest.com
… 172.2.1 Automatic Personality Recognition (APR) in Social Media . . . . . … Nowadays, the volume of the personal information that unintentionally is self-disclosed through the social media puts the automatic personality recognition problem on the map. …

Toward Gamified Personality Acquisition in Travel Recommender Systems
F Teklemicael, Y Zhang, Y Wu, Y Yin, C Xing – International Conference on …, 2016 – Springer
… Therefore, we employed the Personality Recognizer [16] mentioned in Sect. 2 to calculate personality scores of the authors/users from our Trip Advisor dataset. … The Personality Recognizer outputs personality scores based on the FFM ranging from 1?7 for each domain. …

Attributes Beyond Attitudes: Measuring Personality Traits on the US Supreme Court
MEK Hall, GE Hollibaugh, J Klingler, A Ramey – 2016 – papers.ssrn.com
… minimizes the possibility of content bias in the measures. We used the Personality Recognizer (Mairesse et al. 2007) to generate SCIPEs for each “Big … methods (Tausczik and Pennebaker 2010). Similarly, the Personality Recognizer was developed …

Automatically Classifying Self-Rated Personality Scores from Speech.
G An, SI Levitan, R Levitan, A Rosenberg… – …, 2016 – venus.cs.qc.edu
… Automatic personality recognition is useful for many compu- tational applications, including recommendation systems, dat- ing websites, and adaptive … MA Walker, MR Mehl, and RK Moore, “Us- ing linguistic cues for the automatic recognition of personality in conversation and …

Persons’ personality traits recognition using machine learning algorithms and image processing techniques
TGI Fernando – Advances in Computer Science: an International …, 2016 – acsij.org
… company. Another example is identifying criminals’ behavior in criminology. Also automatic personality recognition system can help teachers to identify students’ characteristics and change the teaching methods accordingly. The …

The role of personality in shaping social networks and mediating behavioral change
B Lepri, J Staiano, E Shmueli, F Pianesi… – User Modeling and User …, 2016 – Springer
… 2013). In the last few years, a number of multi-disciplinary research works have tackled the automatic personality recognition task using the Big-Five model in data-intensive experimental scenarios: practitioners have employed data feeds provided by cameras and microphones …

Finding relationships between socio-technical aspects and personality traits by mining developer e-mails
OHP Pabón, FA González, J Aponte… – … and Human Aspects …, 2016 – ieeexplore.ieee.org
… This paper presents an approach, based on the automatic recognition of personality traits from e-mails sent by com- mitters in FLOSS projects, to uncover relationships between the social and technical aspects that occur during the soft- ware development process. …

Estimating Personality Impression from Speed Record Using Hidden Markov Models
Y Jin, T Sakuma, S Kato… – … and Communications in …, 2016 – Wiley Online Library
… Different from the automatic personality recognition for estimation of the user’s original personality, the automatic personality perception focuses on the personality impression which others have to the user. We also work on the automatic personality perception. …

Quality assessment of subjectively labelled training data for improving the reliability of status prediction
Y Dai – Systems, Man, and Cybernetics (SMC), 2016 IEEE …, 2016 – ieeexplore.ieee.org
… that use this information. Reference [3] discusses personality computing domains concerned with personality and considers three main problems: automatic personality recognition, perception, and synthesis. All of these approaches …

Automatic personality prediction from audiovisual data using random forest regression
B Aydin, AA Kindiroglu, O Aran… – … (ICPR), 2016 23rd …, 2016 – ieeexplore.ieee.org
… by observers. APP is not to be confused with Automatic Personality Recognition (APR), which aims to predict the real personality of an individual [2]. Both areas are important and have many potential applications. Experts who …

Personality classification from robot-mediated communication cues
O Celiktutan, P Bremner, H Gunes – IEEE International Symposium on …, 2016 – cl.cam.ac.uk
… IV. DISCUSSION AND CONCLUSION In the audio-only condition, poor classification results clearly showed that audio features alone were not sufficient for automatic personality recognition except for agreeable- ness (see Table I, audio-only). …

Individual Profiling Using Text Analysis
M Stevenson – 2016 – dtic.mil
… unemployment. arXiv preprint arXiv:1411.3140, pages 1–19, 2014. [14] François Mairesse and Marilyn a. Walker. Automatic recognition of personality in conversation. … Using linguistic cues for the automatic recognition of personality in conversation and text. Journal of …

Does phonetic convergence reflect personality?
A Schweitzer, N Lewandowski, D Duran – phonetik.uni-muenchen.de
… [7] François Mairesse, Marilyn A. Walker, Matthias R. Mehl, and Roger K. Moore. Using linguistic cues for the automatic recognition of personality in conversation and text. Journal of Artificial Intelligence Research, pages 457–500, 2007. [8] Gregor Möhler. …

Measuring elite personality using speech
AJ Ramey, JD Klingler, GE Hollibaugh – Political Science Research …, 2016 – cambridge.org
… 6 JAVA code for Mairesse et al.’s (2007) Personality Recognizer program is found at http://people.csail.mit.edu/ francois/research/personality/recognizer.html. The program performs both the LIWC and MRCPD processing as well as the fitting of the machine learning models. …

Classification Algorithms to Predict Students’ Extraversion-Introversion Traits
L Ge, H Tang, Q Zhou, Y Tang… – Cyberworlds (CW), 2016 …, 2016 – ieeexplore.ieee.org
… They clustered the 18,435 Tweets (Twitter messages) into 41 groups, and the groups were labeled by Personality Recognizer 813: which … 813: F. Mairesse, M. Walker, MR Mehl, RK Moore, Using linguistic cues for the automatic recognition of personality in conversation and text …

Data Formats for Emotion and Personality
MASN Nunes, J Granatyr – meninasnacomputacao.com.br
… Additionally, Table 6 presents all 5 papers as a proprietary model. From that, 2 papers labeled their model, they are: (i) paper 7: titled as Personality Recognizer; and (ii) paper 8: titled as User Psychological Profile (UPP). … Personality Recognizer 8. Yes. …

Zara: An Empathetic Interactive Virtual Agent.
P Fung, A Dey, FB Siddique, R Lin, Y Yang… – …, 2016 – pdfs.semanticscholar.org
… 134–140, 2010. [3] F. Mairesse, MA Walker, MR Mehl, and RK Moore, “Us- ing linguistic cues for the automatic recognition of personality in conversation and text,” Journal of Artificial Intelligence Research, pp. 457–500, 2007. …

Acquisition of personality
AN Finnerty, B Lepri, F Pianesi – Emotions and Personality in Personalized …, 2016 – Springer
… A preliminary work addressing the automatic recognition of personality from text was done by [8]. This work used the relative frequency of function words and of word categories based on Systemic Functional Grammar to train classifiers for Extraversion and Emotional Stability. …

Towards an intelligent system for generating an adapted verbal and nonverbal combined behavior in human–robot interaction
A Aly, A Tapus – Autonomous Robots, 2016 – Springer
… In this research, the Personality Recognizer toolkit (Sect. 3.1) integrated to our system is based on the Big5 personality model, as it is the most descriptive model of human personality. … 1 General overview of the system architecture. 3.1 Personality recognizer. …

Computational Personality Analysis: When the Machine Meets the Psychologist
Y Neuman – Computational Personality Analysis, 2016 – Springer
… What we learned from this classic study is that successfully addressing the challenge of automatic personality recognition is possible and that different features and different ML algorithms … Using linguistic cues for the automatic recognition of personality in conversation and text. …

Zara: A Virtual Interactive Dialogue System Incorporating Emotion, Sentiment and Personality Recognition.
P Fung, A Dey, FB Siddique, R Lin… – COLING …, 2016 – pdfs.semanticscholar.org
… arXiv preprint arXiv:1408.5882. Francois Mairesse, Marilyn A. Walker, Matthias R. Mehl, and Roger K. Moore. 2007. Using linguistic cues for the automatic recognition of personality in conversation and text. Journal of Artificial Intelligence Research, pages 457–500. …

Evaluation Metrics for Inferring Personality from Text.
DN Chin, WR Wright – UMAP (Extended Proceedings), 2016 – ceur-ws.org
… John Wiley & Sons, Inc., New York, NY, USA, 1987. [7] F. Mairesse, MA Walker, MR Mehl, and RK Moore. Using linguistic cues for the automatic recognition of personality in conversation and text. Journal of Artificial Intelligence Research, 30(1):457–500, 2007. …

ChaLearn LAP 2016: First Round Challenge on First Impressions-Dataset and Results
V Ponce-López, B Chen, M Oliu, C Corneanu… – Computer Vision–ECCV …, 2016 – Springer
… In this 2016 edition, it is the first time we organize the First Impression challenge on automatic personality recognition. … Mairesse, F., Walker, MA, Mehl, MR, Moore, RK: Using linguistic cues for the automatic recognition of personality in conversation and text. …

Institute of Communications Engineering Staff
M Bossert, R Fischer, W Minker, UC Fiebig… – Journal of Siberian …, 2016 – uni-ulm.de
… 216-220, December 2014 Bibtex. M. Sidorov, S. Ultes and A. Schmitt Automatic Recognition of Personality Traits: A Multimodal Approach Proceedings of the 2014 Workshop on Mapping Personality Traits Challenge and Workshop (MAPTRAITS), Istanbul, Turkey, pp. …

Personality classification and behaviour interpretation: an approach based on feature categories
S Fang, C Achard, S Dubuisson – Proceedings of the 18th ACM …, 2016 – dl.acm.org
… Most of the works about SSP before 2014 are included in the survey by Vinciarelli et al. [28], which addresses three fundamental problems: Automatic Personality Recognition(APR), Automatic Personality Per- ception(APP) and Automatic Personality Synthesis (APS). …

Multimodal personality recognition in collaborative goal-oriented tasks
L Batrinca, N Mana, B Lepri, N Sebe… – IEEE Transactions on …, 2016 – ieeexplore.ieee.org
… Automatic personality recognition 1520-9210 © 2016 IEEE. … The paper is organized as follows: after reviewing the relevant literature for automatic personality recognition in Section II, we present the data collection procedure and the corpus in Section III. …

Personality features on the preference of facial expression and text.
Y Xiang – hmi.ewi.utwente.nl
… Moreover, Mairesse (2007) successfully validated the possibility of the automatic personality recognition based on linguistic cues. Overall, it is feasible to combine the facial expression and text to extract the self-reflection which is the proper proof of personality influence. …

Emotion, Affect, and Personality
M McTear, Z Callejas, D Griol – The Conversational Interface, 2016 – Springer
… other application domains. The solution in these cases is to build an automatic personality recognizer. Automatic personality detection has been widely studied recently in application domains related to text mining. For example …

A framework to identify educational relevance in social networking posts
MF Uddin – Ubiquitous Computing, Electronics & Mobile …, 2016 – ieeexplore.ieee.org
… behavior features as with text features. A detailed survey on Personality Computing in [16], elaborates on Automatic Personality Perception, Automatic Personality Synthesis and Automatic Personality Recognition. A work done in [50 …

Zara The Supergirl: An Empathetic Personality Recognition System.
P Fung, A Dey, FB Siddique, R Lin, Y Yang, Y Wan… – HLT-NAACL …, 2016 – aclweb.org
… Francois Mairesse, Marilyn A. Walker, Matthias R. Mehl, and Roger K. Moore. 2007. Using linguistic cues for the automatic recognition of personality in conversa- tion and text. Journal of Artificial Intelligence Re- search, pages 457–500. …

Emotions and personality in adaptive e-learning systems: an affective computing perspective
OC Santos – Emotions and Personality in Personalized Services, 2016 – Springer
… In fact, as surveyed in [93] and despite open issues and challenges regarding data, methodological issues and applications, technologies are being capable of dealing with personality in three ways: (i) automatic personality recognition (inference of the true personality …

Computing Technologies for Social Signals
A Vinciarelli – Emotions and Personality in Personalized Services, 2016 – Springer
… goal is to automatically predict self-assessed traits, ie the traits that people attribute to themselves (Automatic Personality Recognition, APR … Salamin, H., Polychroniou, A., Vinciarelli, A.: Automatic recognition of personality and conflict handling style in mobile phone conversations …

Deep impression: Audiovisual deep residual networks for multimodal apparent personality trait recognition
Y Güçlütürk, U Güçlü, MAJ van Gerven… – Computer Vision–ECCV …, 2016 – Springer
… Psychol. Sci. 21(12), 1777–1782 (2010). http://dx.doi.org/10.1177/0956797610388048 CrossRefGoogle Scholar. 19. Mairesse, F., Walker, MA, Mehl, MR, Moore, RK: Using linguistic cues for the automatic recognition of personality in conversation and text. J. Artif. Intell. Res. …

Psychology of Voice
S Johar – Emotion, Affect and Personality in Speech, 2016 – Springer
… J Exp Psychol Appl 7(3):171–181CrossRef. 16. Mairesse F, Walker MA, Mehl MR, Moore RK (2007) Using linguistic cues for the automatic recognition of personality in conversation and text. J Artif Intell Res (JAIR) 30:457–500MATH. 17. …

Institute of Information Technology
J Lindner, W Teich, A Linduska, M Mostafa… – Journal of Siberian …, 2016 – uni-ulm.de
… 216-220, December 2014 Bibtex. M. Sidorov, S. Ultes and A. Schmitt Automatic Recognition of Personality Traits: A Multimodal Approach Proceedings of the 2014 Workshop on Mapping Personality Traits Challenge and Workshop (MAPTRAITS), Istanbul, Turkey, pp. …

You Are What You Eat… Listen to, Watch, and Read
M Bretan – arXiv preprint arXiv:1612.04403, 2016 – arxiv.org
… 2005. François Mairesse, Marilyn A Walker, Matthias R Mehl, and Roger K Moore. Using linguistic cues for the automatic recognition of personality in conversation and text. 2007. Robert R McCrae and Paul T Costa. Reinterpreting …

Who likes What, and Why? Insights into Personality Modeling based on ImageLikes’
SC Guntuku, JT Zhou, S Roy, LIN Weisi… – IEEE Transactions on …, 2016 – ieeexplore.ieee.org
… While automatic personality recognition is about inferring self-assessed personality traits, automatic personality perception is about inferring the personality that observers attribute to a given user. A comprehensive review of these concepts is presented in [68]. …

First impressions-predicting user personality from twitter profile images
A Dhall, J Hoey – International Workshop on Human Behavior …, 2016 – Springer
… 623–628. IEEE (2012). 3. Mairesse, F., Walker, M.: Automatic recognition of personality in conversation. In: Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers, pp. 85–88. …

Heterogeneity-entropy based unsupervised feature learning for personality prediction with cross-media data
H Xianyu, M Xu, Z Wu, L Cai – Multimedia and Expo (ICME) …, 2016 – ieeexplore.ieee.org
… [9] Maxim Sidorov, Stefan Ultes, and Alexander Schmitt, “Automatic recognition of personality traits: A multi- modal approach,” in Proceedings of the 2014 Workshop on Mapping Personality Traits Challenge and Work- shop, New York, NY, USA, 2014, MAPTRAITS ’14, pp. …

Pisco: A Computational Approach to Predict Personality Types from Java Source Code.
M Liebeck, P Modaresi, A Askinadze, S Conrad – FIRE (Working Notes), 2016 – ceur-ws.org
… Predicting Personality from Twitter. In SocialCom/PASSAT, pages 149–156. IEEE, 2011. [8] F. Mairesse, MA Walker, MR Mehl, and RK Moore. Using Linguistic Cues for the Automatic Recognition of Personality in Conversation and Text. J. Artif. Int. Res., 30(1):457–500, Nov. …

Recommendations with personality traits extracted from text reviews
A Di Rienzo, A Neishabouri – Intelligent Distributed Computing IX, 2016 – Springer
… In: IMSA, pp. 218–223 (2002a). 14. Mairesse, F., Walker, MA, Mehl, MR, Moore, RK: Using linguistic cues for the automatic recognition of personality in conversation and text. J. Artif. Intell. Res. 30(1), 457–500 (2007)MATHGoogle Scholar. 15. …

Combining deep facial and ambient features for first impression estimation
F Gürp?nar, H Kaya, AA Salah – Computer Vision–ECCV 2016 Workshops, 2016 – Springer
… 1–6. ACM (2014). 14. Sidorov, M., Ultes, S., Schmitt, A.: Automatic recognition of personality traits: a multimodal approach. In: Proceedings of the 2014 Workshop on Mapping Personality Traits Challenge, pp. 11–15. ACM (2014). 15. …

A Particle Swarm Optimization Based Approach for Finding Similar Users on Facebook.
PS Kabara, V Kaushal, A Divekar, M Kamdar… – JCP, 2016 – jcomputers.us
… [16] Mairesse, F., et al. (2007). Using linguistic cues for the automatic recognition of personality in conversation and text. Journal of Artificial Intelligence Research, 457-500. [17] Pennebaker, JW, Booth, R. J, & Francis, ME (2007). …

Identifying Personality Trait using Social Media: A Data Mining Approach
J Pednekar, S Dubey – ijcter.com
… IEEE. [7] F. Mairesse, M. Walker, M. Mehl, and R. Moore. Using linguistic cues for the automatic recognition of personality in conversation and text. Journal of Artificial Intelligence Research, 30(1):457–500, 2007. [8] Poyry, E., Parvinen, P., & Malmivaara, T. (2013, January). …

Between-and Within-Speaker Effects of Bilingualism on F0 Variation.
R Voigt, D Jurafsky, M Sumner – Interspeech, 2016 – pdfs.semanticscholar.org
… 23, no. 3, pp. 687–755, 2005. [7] F. Mairesse, MA Walker, MR Mehl, and RK Moore, “Us- ing linguistic cues for the automatic recognition of personality in conversation and text,” Journal of Artificial Intelligence Research, vol. 30, pp. 457–500, 2007. …

Identifying Great Teachers Through Their Online Presence
E Faliagka, M Rigou, S Sirmakessis – International Conference on Web …, 2016 – Springer
… Educ. Sci.: Theory Pract. 14(6), 2049–2062 (2014). 27. Mairesse, F., Walker, M., Mehl, M., Moore, R.: Using linguistic cues for the automatic recognition of personality in conversation and text. J. Artif. Intell. Res. 30, 457–500 (2007)MATH. 28. …

Shallow Recurrent Neural Network for Personality Recognition in Source Code.
Y Doval, C Gómez-Rodríguez, J Vilares – FIRE (Working Notes), 2016 – ceur-ws.org
… arXiv preprint arXiv:1511.07889, 2015. [12] F. Mairesse, MA Walker, MR Mehl, and RK Moore. Using linguistic cues for the automatic recognition of personality in conversation and text. Journal of Artificial Intelligence Research, 30:457–500, 2007. …

Individual Differences in Strategic Deception
S Appling, E Briscoe – Proceedings of the Second Workshop on …, 2016 – aclweb.org
… François Mairesse, Marilyn A Walker, Matthias R Mehl, and Roger K Moore. 2007. Using linguistic cues for the automatic recognition of personality in conver- sation and text. Journal of artificial intelligence re- search, pages 457–500. Robert R McCrae and Paul T Costa Jr. …

Personality estimation from Japanese text
K Kamijo, T Nasukawa, H Kitamura – PEOPLES 2016, 2016 – aclweb.org
… htm. Francois Mairesse, Marilyn A. Walker, Matthias R. Mehl, and Roger K. Moore. 2007. Using linguistic cues for the automatic recognition of personality in conversation and text. Journal of Artificial Intelligence Research, 30: 457–500. Robert R. McCrae and Oliver P. John. …

Personality-aware followee recommendation algorithms: An empirical analysis
A Tommasel, A Corbellini, D Godoy… – … Applications of Artificial …, 2016 – Elsevier
… Experimental evaluation of the Personality Recogniser application developed by these authors was based on two datasets. First, a dataset comprising 2479 essays written by psychology students, who were told to write whatever came into their mind for 20 min. …

A Novel Methodology for Automatically Measuring Psychological Dimensions in Textual Data
Y Neuman, Y Cohen – The Computer Journal, 2016 – academic.oup.com
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Acoustic-Prosodic Automatic Personality Trait Assessment for Adults and Children
R Solera-Ureña, H Moniz, F Batista… – Advances in Speech …, 2016 – Springer
… In: Proceedings of the 11th Conference on Psychological Assessment, Riga, Latvia, September 2011. 11. Mairesse, F., Walker, M., Mehl, M., Moore, R.: Using linguistic cues for the automatic recognition of personality in conversation and text. J. Artif. Intell. Res. …

Using targeted design interventions to encourage extra?role crowdsourcing behavior
O Nov, J Laut, M Porfiri – Journal of the Association for …, 2016 – Wiley Online Library
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Personality traits and echo chambers on facebook
A Bessi – Computers in Human Behavior, 2016 – Elsevier
In online social networks, users tend to select information that adhere to their system of beliefs and to form polarized groups of like minded people. Polarizat.

A novel approach to evaluate and rank candidates in a recruitment process by estimating emotional intelligence through social media data
VM Menon, HA Rahulnath – Next Generation Intelligent …, 2016 – ieeexplore.ieee.org
… New York: World Book. [11] Mairesse, F., Walker, M., Mehl, MR, & Moore, RK (2007). Using linguistic cues for the automatic recognition of personality in conversation and text. Journal of Artificial Intelligence Research, 30, 457–500. …

Exploiting turn-taking temporal evolution for personality trait perception in dyadic conversations
MH Su, CH Wu, YT Zheng – IEEE/ACM Transactions on Audio …, 2016 – ieeexplore.ieee.org
… behavioral states, associated with an individual. In recent years, automatic personality recognition (APR) and automatic per- sonality perception (APP) systems have received considerable attention [9]–[17]. In psychology, the Big Five …

The Social Mood of News: Self-reported Annotations to Design Automatic Mood Detection Systems
F Alam, F Celli, EA Stepanov, A Ghosh, G Riccardi – PEOPLES 2016, 2016 – aclweb.org
Page 157. Proceedings of the Workshop on Computational Modeling of People’s Opinions, Personality, and Emotions in Social Media, pages 143–152, Osaka, Japan, December 12 2016. The Social Mood of News: Self-reported …

Short Messages Spam Filtering Using Personality Recognition
E Ezpeleta, U Zurutuza, JMG Hidalgo – Proceedings of the 4th Spanish …, 2016 – dl.acm.org
Page 1. Short Messages Spam Filtering Using Personality Recognition Enaitz Ezpeleta Mondragon University Goiru Kalea 2 20500 Arrasate-Mondragon, Spain eezpeleta@mondragon.edu Urko Zurutuza Mondragon University …

Improving Users’ Demographic Prediction via the Videos They Talk about.
Y Wang, Y Xiao, C Ma, Z Xiao – EMNLP, 2016 – aclweb.org
Page 1. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pages 1359–1368, Austin, Texas, November 1-5, 2016. c 2016 Association for Computational Linguistics Improving Users …

Pan at fire: Overview of the pr-soco track on personality recognition in source code
F Rangel, F González, F Restrepo, M Montes… – Working notes of …, 2016 – ccc.inaoep.mx
… CEUR-WS.org, 2016. [20] F. Mairesse, MA Walker, MR Mehl, and RK Moore. Using linguistic cues for the automatic recognition of personality in conversation and text. Journal of Artificial Intelligence Research, 30(1):457–500, 2007. [21] J. Oberlander and S. Nowson. …

Personality expression in Chinese language use
L Qiu, J Lu, J Ramsay, S Yang, W Qu… – International Journal of …, 2016 – Wiley Online Library
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Locality alignment discriminant analysis for visualizing regional English
P Tang, M Zhao, TWS Chow – Neural Processing Letters, 2016 – Springer
… IEEE Trans Image Process 22(10):3904–3915MathSciNetCrossRefGoogle Scholar. 16. Mairesse F, Walker MA, Mehl MR, Moore RK (2007) Using linguistic cues for the automatic recognition of personality in conversation and text. J Artif Intell Res 30:457–500. …

Predicting the Human Curiosity from Users’ Profiles on Facebook
A Menk, L Sebastiá – Proceedings of the 4th Spanish Conference on …, 2016 – dl.acm.org
… Cognition & Emotion, 19(4):559–582, 2005. [24] F. Mairesse, MA Walker, MR Mehl, and RK Moore. Using linguistic cues for the automatic recognition of personality in conversation and text. Journal of artificial intelligence research, pages 457–500, 2007. …

Coordinating Communication in the Wild: The Artwalk Dialogue Corpus of Pedestrian Navigation and Mobile Referential Communication.
K Liu, JEF Tree, MA Walker – LREC, 2016 – lrec-conf.org
Page 1. Coordinating Communication in the Wild: The Artwalk Dialogue Corpus of Pedestrian Navigation and Mobile Referential Communication Kris Liu1, Jean E. Fox Tree1, Marilyn A. Walker2 1University of California, Santa …

The personality of music genres
Y Neuman, L Perlovsky, Y Cohen… – Psychology of …, 2016 – journals.sagepub.com

Predicting Perceived Brand Personality with Social Media.
A Xu, H Liu, L Gou, R Akkiraju, J Mahmud, V Sinha… – ICWSM, 2016 – aaai.org
Page 1. Predicting Perceived Brand Personality with Social Media Anbang Xu, Haibin Liu, Liang Gou, Rama Akkiraju, Jalal Mahmud, Vibha Sinha, Yuheng Hu, Mu Qiao IBM Research – Almaden, San Jose, CA, USA {anbangxu …

Annotation-Based Learner’s Personality Modeling in Distance Learning Context.
N Omheni, A Kalboussi, O Mazhoud, AH Kacem – Turkish Online Journal of …, 2016 – ERIC
Page 1. 46 Turkish Online Journal of Distance Education-TOJDE October 2016 ISSN 1302-6488 Volume: 17 Number: 4 Article 3 ANNOTATION-BASED LEARNER’S PERSONALITY MODELING IN DISTANCE LEARNING CONTEXT …

Predicting online lecture ratings based on gesturing and vocal behavior
P Salvagnini, M Cristani, A Vinciarelli, V Murino – academia.edu
Page 1. See discussions, stats, and author profiles for this publication at: https://www.researchgate. net/publication/266318958 Predicting online lecture ratings based on gesturing and vocal behavior ARTICLE in JOURNAL ON MULTIMODAL USER INTERFACES · JUNE 2014 …

Short and Sweet? Length and Informative Content of Open?Ended Responses Using SMS as a Research Mode
E Walsh, JK Brinker – Journal of Computer?Mediated …, 2016 – Wiley Online Library
By continuing to browse this site you agree to us using cookies as described in About Cookies. Remove maintenance message. …

Analysis and visualization of multimodal socio-technical information of free/libre and open source software (FLOSS) Projects
P Pabón, O Hernán – 2016 – bdigital.unal.edu.co
… This thesis presents an approach, based on the automatic recognition of personality traits from e-mails sent by committers in FLOSS projects, to uncover relationships between the social and technical aspects that occur during software development processes. …

Statistical Models for Linguistic Variation in Social Media
V Kulkarni – 2016 – pdfs.semanticscholar.org
Page 1. April 18, 2016 DRAFT Statistical Models for Linguistic Variation in Social Media Vivek Kulkarni May 2016 Department of Computer Science Stony Brook University Stony Brook, NY 11790 Thesis Committee: Steven Skiena …

What the Language You Tweet Says About Your Occupation.
T Hu, H Xiao, J Luo, TT Nguyen – ICWSM, 2016 – aaai.org
Page 1. What the Language You Tweet Says About Your Occupation Tianran Hu, Haoyuan Xiao, and Jiebo Luo Department of Computer Science University of Rochester Rochester, NY 14623 {thu, hxiao6, jluo}@cs.rochester.edu …

It pays to be extraverted: Executive personality and career outcomes
TC Green, R Jame, B Lock – 2016 – papers.ssrn.com
Page 1. It Pays to be Extraverted: Executive Personality and Career Outcomes T. Clifton Green, Russell Jame, and Brandon Lock * May 2016 Abstract Psychology research identifies extraversion as the personality trait most closely associated with leadership. …

Evaluating the Validity of Simplified Chinese Version of LIWC in Detecting Psychological Expressions in Short Texts on Social Network Services
N Zhao, D Jiao, S Bai, T Zhu – PloS one, 2016 – journals.plos.org
The increasing need of automated analyzing web texts especially the short texts on Social Network Services (SNS) brings new demands of computerized text analysis instruments. The psychometric properties are the basis of the extensive use of these instruments such as the Linguistic …

VirtualIdentity: Privacy preserving user profiling
S Wang, WS Poon, G Farnadi, C Horst… – Advances in Social …, 2016 – ieeexplore.ieee.org
… Proc. ACM SIGKDD2006. [14] F. Mairesse, MA Walker, MR Mehl and RK Moore, “Using Lin- guistic Cues for the Automatic Recognition of Personality in Conversation and Text,” J. Artif. Intell. Res., Vol. 30, p. 457-500, 2007. [15 …

Don’t Judge a (Face) Book by its Cover: Exploring judgement accuracy of others’ personality on Facebook
D Darbyshire, C Kirk, HJ Wall, LK Kaye – Computers in Human Behavior, 2016 – Elsevier
With interaction across social networking sites (SNSs) becoming more prominent, the ability to accurately judge another’s personality through these digital plat.

Pitfalls of Attribution—Conversational Styles in Language Education
H Komorowska – … Second Language Learning and Teaching from a …, 2016 – Springer
… Modern Language Journal, 82, 545–562.CrossRef. Mairesse, F., Walker, M., Mehl, M., & Moore, R. (2007). Using linguistic cues for the automatic recognition of personality in conversation and text. Journal of Artificial Intelligence Research, 30, 457–500. Marzano, RJ (2010). …

PT-LDA: A latent variable model to predict personality traits of social network users
Y Liu, J Wang, Y Jiang – Neurocomputing, 2016 – Elsevier
Online social network presents a great opportunity to analyze user behavior and mine the implicit personality traits from the social network data. Considering t.

Computational Personality Analysis: Introduction, Practical Applications and Novel Directions
Y Neuman – 2016 – Springer
Page 1. Yair Neuman Computational Personality Analysis Introduction, Practical Applications and Novel Directions Page 2. Computational Personality Analysis Page 3. Yair Neuman Computational Personality Analysis Introduction, Practical Applications and Novel Directions …

An exploration of psychological factors on emoticon usage and implications for judgement accuracy
HJ Wall, LK Kaye, SA Malone – Computers in Human Behavior, 2016 – Elsevier
Given the increasing use of online platforms, the current research comprised two studies examining links between personality and emoticon use: Study 1 explored.

Comparative study of web annotation systems used by learners to enhance educational practices: features and services
A Kalboussi, O Mazhoud… – International Journal of …, 2016 – inderscienceonline.com
Page 1. Int. J. Technology Enhanced Learning, Vol. 8, No. 2, 2016 129 Copyright © 2016 Inderscience Enterprises Ltd. Comparative study of web annotation systems used by learners to enhance educational practices: features and services Anis Kalboussi* and Omar Mazhoud …

The Language of Leadership: What Our Words Reveal About Our Leadership Style
CH Kalafut – 2016 – search.proquest.com
… Probation, 74, 34. Mairesse, F., Walker, MA, Mehl, MR, & Moore, RK (2007). Using linguistic cues for the automatic recognition of personality in conversation and text. Journal of Artificial Intelligence Research, 30, 457-500. Mehl, MR, Gosling, SD, & Pennebaker, JW (2006). …

ASCERTAIN: Emotion and personality recognition using commercial sensors
R Subramanian, J Wache, M Abadi… – IEEE Transactions …, 2016 – ieeexplore.ieee.org
Page 1. 1949-3045 (c) 2016 IEEE. Personal use is permitted, but republication/ redistribution requires IEEE permission. See http://www.ieee.org/ publications_standards/publications/rights/index.html for more information. This …

Using social media activity to identify personality characteristics of Navy personnel
L Ward – 2016 – calhoun.nps.edu
Page 1. Calhoun: The NPS Institutional Archive Theses and Dissertations Thesis and Dissertation Collection 2016-03 Using social media activity to identify personality characteristics of Navy personnel Ward, Leslie Monterey, California: Naval Postgraduate School …

Toward Online Linguistic Surveillance of Threatening Messages
BH Spitzberg, JM Gawron – The Journal of Digital Forensics …, 2016 – search.proquest.com
… Mairesse, F., Walker, MA, Mehl, MR, & Moore, RK (2007). Using linguistic cues for the automatic recognition of personality in conversation and text. Journal of A rtificial Intelligence Research, 3 0, 457-500. Maras, MH. (2015). …

CEO personality and firm policies
ID Gow, SN Kaplan, DF Larcker, AA Zakolyukina – 2016 – nber.org
Page 1. NBER WORKING PAPER SERIES CEO PERSONALITY AND FIRM POLICIES Ian D. Gow Steven N. Kaplan David F. Larcker Anastasia A. Zakolyukina Working Paper 22435 http://www.nber.org/papers/w22435 NATIONAL …

When Words Sweat: Identifying Signals for Loan Default in the Text of Loan Applications
O Netzer, A Lemaire, M Herzenstein – 2016 – papers.ssrn.com
Page 1. Electronic copy available at: https://ssrn.com/abstract=2865327 When Words Sweat: Identifying Signals for Loan Default in the Text of Loan Applications Oded Netzer Associate Professor of Marketing Columbia Business …

A Mobile Security-Related Behavior Prevention Model Based on Speech Personality Traits
H Zhao, X Zhang – Trustcom/BigDataSE/I? SPA, 2016 IEEE, 2016 – ieeexplore.ieee.org
Page 1. A Mobile Security-related Behavior Prevention Model Based on Speech Personality Traits Huan Zhao, Xixiang Zhang School of Information Science and Engineering Hunan University Changsha, China E-mail: hzhao@hnu.edu.cn …

Functionalities provided by Annotation Systems for Learners in Educational Context: An Overview.
A Kalboussi, O Mazhoud… – International Journal of …, 2016 – search.ebscohost.com
Page 1. PAPER FUNCTIONALITIES PROVIDED BY ANNOTATION SYSTEMS FOR LEARNERS IN EDUCATIONAL CONTEXT: AN OVERVIEW Functionalities provided by Annotation Systems for Learners in Educational Context: An Overview …

Implicit Human-computer Interaction: Two complementary Approaches
J Wache – 2016 – eprints-phd.biblio.unitn.it
Page 1. DEPARTMENT OF INFORMATION ENGINEERING AND COMPUTER SCIENCE ICT International Doctoral School IMPLICIT HUMAN-COMPUTER INTERACTION: TWO COMPLEMENTARY APPROACHES Julia Wache Advisor: Prof. Nicu Sebe …

Understanding deep representations learned in modeling users likes
SC Guntuku, JT Zhou, S Roy, W Lin… – IEEE Transactions on …, 2016 – ieeexplore.ieee.org
Page 1. 3762 IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 25, NO. 8, AUGUST 2016 Understanding Deep Representations Learned in Modeling Users Likes Sharath Chandra Guntuku, Joey Tianyi Zhou, Sujoy Roy …

On the Personality Traits of GitHub Contributors
A Rastogi, N Nagappan – Software Reliability Engineering …, 2016 – ieeexplore.ieee.org
Page 1. On the Personality Traits of GitHub Contributors Ayushi Rastogi IIIT-Delhi, India ayushir@iiitd.ac.in Nachiappan Nagappan Microsoft Research, Redmond nachin@microsoft.com Abstract—People’s personality has the …

PERSONALITY IN SPEECH.
T Polzehl – 2016 – Springer
Page 1. T-Labs Series in Telecommunication Services Tim Polzehl Personality in Speech Assessment and Automatic Classification Page 2. T-Labs Series in Telecommunication Services Series editors Sebastian Möller, Berlin …

Two techniques for assessing virtual agent personality
K Liu, J Tolins, JEF Tree, M Neff… – IEEE Transactions on …, 2016 – ieeexplore.ieee.org
Page 1. Two Techniques for Assessing Virtual Agent Personality Kris Liu, Jackson Tolins, Jean E. Fox Tree, Michael Neff, and Marilyn A. Walker Abstract—Personality can be assessed with standardized inventory questions with …

Variation in Emotional Markers Between Serial Killers Diagnosed with ASPD and Those Currently Undiagnosed
T Leszkiewicz – 2016 – search.proquest.com
Variation in Emotional Markers Between Serial Killers Diagnosed with ASPD and Those Currently Undiagnosed. Abstract. To date, seventeen famous serial killers have been diagnosed with antisocial personality disorder (ASPD). …

Computational personality recognition in social media
G Farnadi, G Sitaraman, S Sushmita, F Celli… – User modeling and user …, 2016 – Springer
Page 1. User Model User-Adap Inter (2016) 26:109–142 DOI 10.1007/s11257-016- 9171-0 Computational personality recognition in social media Golnoosh Farnadi1,2 · Geetha Sitaraman3 · Shanu Sushmita3 · Fabio Celli4 · Michal …

MODELLING LEXICAL PSYCHOLOGY OF AN INDIVIDUAL
S Poddar – 2016 – web2py.iiit.ac.in
Page 1. MODELLING LEXICAL PSYCHOLOGY OF AN INDIVIDUAL Thesis submitted in partial fulfillment of the requirements for the degree of Master of Science (by Research) in Exact Humanities by Shivani Poddar 201156152 shivani.poddar@research.iiit.ac.in …

Affective analysis and Modeling of Spoken Dialogue Transcripts
E Palogiannidi – 2016 – researchgate.net
Page 1. Technical University of Crete Electronic and Computer Engineering “Affective analysis and Modeling of Spoken Dialogue Transcripts” by Elisavet Palogiannidi thesis committee Thesis supervisor: Associate Professor …

Golnoosh Farnadi, Geetha Sitaraman, Shanu Sushmita, Fabio Celli, Michal Kosinski, David Stillwell, Sergio Davalos
MF Moens – stillwell.eu
Page 1. 123 User Modeling and User-Adapted Interaction The Journal of Personalization Research ISSN 0924-1868 User Model User-Adap Inter DOI 10.1007/s11257-016-9171-0 Computational personality recognition in social media Golnoosh Farnadi, Geetha Sitaraman, …

Character modeling through dialogue for expressive Natural Language Generation
GI Lin – 2016 – search.proquest.com
Character modeling through dialogue for expressive Natural Language Generation. Abstract. Conversation is an essential component of social behavior, one of the primary means by which humans express emotions, moods, attitudes, and personality. …