Common sense knowledge based personality recognition from text

Soujanya Poria, Alexandar Gelbukh, Basant Agarwal, Erik Cambria, Newton Howard

Research output: Chapter in Book/Report/Conference proceedingConference contribution

50 Citations (Scopus)

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. © Springer-Verlag 2013.
Original languageAmerican English
Title of host publicationCommon sense knowledge based personality recognition from text
Pages484-496
Number of pages434
ISBN (Electronic)9783642451102
DOIs
StatePublished - 1 Dec 2013
EventLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) -
Duration: 1 Jan 2014 → …

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8266 LNAI
ISSN (Print)0302-9743

Conference

ConferenceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Period1/01/14 → …

Fingerprint

Knowledge-based
Linguistics
Polarity
Labels
Person
Classifiers
Classifier
Opinion Mining
Sentiment Analysis
Resources
Text
Knowledge
Personality

Cite this

Poria, S., Gelbukh, A., Agarwal, B., Cambria, E., & Howard, N. (2013). Common sense knowledge based personality recognition from text. In Common sense knowledge based personality recognition from text (pp. 484-496). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8266 LNAI). https://doi.org/10.1007/978-3-642-45111-9_42
Poria, Soujanya ; Gelbukh, Alexandar ; Agarwal, Basant ; Cambria, Erik ; Howard, Newton. / Common sense knowledge based personality recognition from text. Common sense knowledge based personality recognition from text. 2013. pp. 484-496 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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Poria, S, Gelbukh, A, Agarwal, B, Cambria, E & Howard, N 2013, Common sense knowledge based personality recognition from text. in Common sense knowledge based personality recognition from text. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8266 LNAI, pp. 484-496, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1/01/14. https://doi.org/10.1007/978-3-642-45111-9_42

Common sense knowledge based personality recognition from text. / Poria, Soujanya; Gelbukh, Alexandar; Agarwal, Basant; Cambria, Erik; Howard, Newton.

Common sense knowledge based personality recognition from text. 2013. p. 484-496 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8266 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Poria S, Gelbukh A, Agarwal B, Cambria E, Howard N. Common sense knowledge based personality recognition from text. In Common sense knowledge based personality recognition from text. 2013. p. 484-496. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-45111-9_42