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2009
DOI: 10.1016/j.specom.2008.11.001
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Charisma perception from text and speech

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Cited by 126 publications
(187 citation statements)
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“…For instance, it has been shown that observer ratings of charisma are significantly correlated with prosodic features derived from F0, as well as speaking rate and lexical features such as phrase length and use of personal pronouns (Rosenberg and Hirschberg, 2009); however, this study does not report results of automatic classification. Regarding automatic prediction, it has been shown that traits of perceived leadership, comprising the archetypal personalities of charismatics, achievers and team-players, can be predicted with accuracy significantly above chance level , reaching above 72 % accuracy in binary classification.…”
Section: Speaker Personalitymentioning
confidence: 70%
See 1 more Smart Citation
“…For instance, it has been shown that observer ratings of charisma are significantly correlated with prosodic features derived from F0, as well as speaking rate and lexical features such as phrase length and use of personal pronouns (Rosenberg and Hirschberg, 2009); however, this study does not report results of automatic classification. Regarding automatic prediction, it has been shown that traits of perceived leadership, comprising the archetypal personalities of charismatics, achievers and team-players, can be predicted with accuracy significantly above chance level , reaching above 72 % accuracy in binary classification.…”
Section: Speaker Personalitymentioning
confidence: 70%
“…Also, differences in pronunciation can result in a negative evaluation (Eklund and Lindström, 2001;van Bezooijen, 2005). For the case of professional speakers, politicians' speech samples were analysed for charisma, using lexical and prosodic information, in (Rosenberg and Hirschberg, 2009). While this trait can be related to likability, the aforementioned study does not report results of automatic classification.…”
Section: Speaker Likabilitymentioning
confidence: 99%
“…One of the areas where NLP techniques have shown great promise is in the analysis of political speech. For example, researchers have applied NLP techniques to political texts for a variety of tasks such as predicting voting patterns (Thomas et al, 2006), identifying markers of persuasion (Guerini et al, 2008), capturing cues that signal charisma (Rosenberg and Hirschberg, 2009), and detecting ideological positions (Sim et al, 2013). Our work also analyzes political speech, more specifically, presidential debates.…”
Section: Introductionmentioning
confidence: 99%
“…Researchers have analyzed political text to identify markers of persuasion (Guerini et al, 2008), predict voting patterns (Thomas et al, 2006;Gerrish and Blei, 2011), and detect ideological positions (Sim et al, 2013). Studies have also looked into how personal attributes of political personalities such as charisma, confidence and power affect how they interact (Rosenberg and Hirschberg, 2009;Prabhakaran et al, 2013b). Our work belongs to this genre of studies.…”
Section: Introductionmentioning
confidence: 99%