Abstract
Past works on personality detection has shown that psycho-linguistic features, frequency based analysis at lexical level, emotive words and other lexical clues such as number of first person or second person words carry major role to identify personality associated with the text. In this work, we propose a new architecture for the same task using common sense knowledge with associated sentiment polarity and affective labels. To extract the common sense knowledge with sentiment polarity scores and affective labels we used Senticnet which is one of the most useful resources for opinion mining and sentiment analysis. In particular, we combined common sense knowledge based features with phycho-linguistic features and frequency based features and later the features were employed in supervised classifiers. We designed five SMO based supervised classifiers for five personality traits. We observe that the use of common sense knowledge with affective and sentiment information enhances the accuracy of the existing frameworks which use only psycho-linguistic features and frequency based analysis at lexical level.
Keywords
An Erratum for this chapter can be found at http://dx.doi.org/10.1007/978-3-642-45111-9_46
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Cambria, E., Havasi, C., Hussain, A.: SenticNet 2: A semantic and affective resource for opinion mining and sentiment analysis. In: Proceedings of FLAIRS, Marco Island, pp. 202–207 (2012)
Havasi, C., Speer, R., Alonso, J.: ConceptNet 3: A Flexible, Multilingual Semantic Network for Common Sense Knowledge. In: RANLP (2007)
Poria, S., Gelbukh, A., Hussain, A., Das, D., Bandyopadhyay, S.: Enhanced SenticNet with Affective Labels for Concept-based Opinion Mining. IEEE Intelligent Systems 28(2), 31–38 (2013), doi:10.1109/MIS.2013.4
Havasi, C., Speer, R., Pustejovsky, J.: Automatically Suggesting Semantic Structure for a Generative Lexicon Ontology. In: Generative Lexicon (2009)
Lapponi, E., Read, J., Ovrelid, L.: Representing and resolving negation for sentiment analysis. In: ICDM SENTIRE, Brussels, pp. 687–692 (2012)
Cambria, E., Hussain, A.: Sentic Computing: Techniques, Tools, and Applications. Springer, Dordrecht (2012)
Cambria, E., Speer, R., Havasi, C., Hussain, A.: SenticNet: A publicly available semantic resource for opinion mining. In: AAAI CSK, Arlington, pp. 14–18 (2010)
Alghamdi, A., Aldabbas, H., Alshehri, M., Nusir, M.: Adopting User-Centered Development Approach For Arabic E-Commerce Websites. International Journal of Web & Semantic Technology, IJWesT (2012)
Amichai-Hamburger, Y., Vinitzky, G.: Social network use and personality. Computers in Human Behavior 26(6), 1289–1295 (2010)
Boden, M., Mellor, D.H.: What Is Computational Psychology? Proceedings of the Aristotelian Society, Supplementary Volumes 58, 37–53 (1984)
Briggs Myers, I., McCaulley, M.H., Quenk, N., Hammer, A.: MBTI Handbook: A Guide to the development and use of the Myers-Briggs Type Indicator, 3rd edn. Consulting Psychologists Press (1998)
Cattell, H.E.P., Mead, A.D.: The Sixteen Personality Factor Questionnaire (16PF): SAGE Knowledge. In: The SAGE Handbook of Personality Theory and Assessment (2008), http://people.wku.edu/richard.miller/520%2016PF%20Cattell%20and%20Mead.pdf (retrieved May 27, 2013)
Celli, F.: Unsupervised Personality Recognition for Social Network Sites. In: The Sixth International Conference on Digital Society, ICDS 2012 (c), pp. 59–62 (2012)
Coltheart, M.: The MRC Psycholinguistic Database. Quarterly Journal of Experimental Psychology 33A(4), 497–505 (1981)
Eysenck, H.J., Eysenck, S.B.: Manual for the EPQ-R. EdITS, San Diego (1991)
Golbeck, J., Robles, C., Turner, K.: Predicting personality with social media. In: CHI Extended Abstracts, pp. 253–262 (2011)
Wilson, M.: MRC Psycholinguistic Database: Machine Usable Dictionary, Version 2.00 (1987), http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.52.6928 (retrieved)
Isaacson, K., Peacey, S.: Human resources and social media (2012)
John, O.P., Naumann, L.P., Soto, C.J.: Paradigm shift to the integrative Big Five trait taxonomy: History, measurement, and conceptual issues. In: Handbook of Personality Theory and Research, pp. 114–158 (2008)
Mairesse, F., Walker, M.A., Mehl, M.R., Moore, R.K.: Using Linguistic Cues for the Automatic Recognition of Personality in Conversation and Text. Journal of Artificial Intelligence Research 30(1), 457–500 (2007)
Matthews, G., Deary, I.J., Whiteman, M.C.: Personality Traits, Cambridge, UK, pp. 23–26 (2009)
Noecker, J., Ryan, M., Juola, P.: Psychological profiling through textual analysis. Literary and Linguistic Computing (2013)
Oberlander, J., Nowson, S.: Whose thumb is it anyway? Classifying author personality from weblog text. Computational Linguistics, 627–634 (2006)
Tausczik, Y.R., Pennebaker, J.W.: The Psychological Meaning of Words: LIWC and Computerized Text Analysis Methods. Journal of Language and Social Psychology 29(1), 24–54 (2009)
Tomlinson, M.T., Hinote, D., Bracewell, D.B.: Predicting Conscientiousness through Semantic Analysis of Facebook Posts. In: Proceedings of WCPR 2013, Workshop on Computational Personality Recognition at ICWSM 2013 (7th International AAAI Conference on Weblogs and Social Media) (2013)
Mohammad, S.M., Kiritchenko, S.: Using Nuances of Emotion to Identify Personality (2012)
Sidorov, G., Castro-Sánchez, N.A.: Automatic emotional personality description using linguistic data. Research in Computing Science 20, 89–94 (2006)
Sidorov, G., Castro-Sánchez, N.A.: System for linguistically-based evaluation of psychological profiles. In: Dialogue 2006, Russia, pp. 464–467 (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Poria, S., Gelbukh, A., Agarwal, B., Cambria, E., Howard, N. (2013). Common Sense Knowledge Based Personality Recognition from Text. In: Castro, F., Gelbukh, A., González, M. (eds) Advances in Soft Computing and Its Applications. MICAI 2013. Lecture Notes in Computer Science(), vol 8266. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45111-9_42
Download citation
DOI: https://doi.org/10.1007/978-3-642-45111-9_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-45110-2
Online ISBN: 978-3-642-45111-9
eBook Packages: Computer ScienceComputer Science (R0)