articleJournal of Artificial Intelligence ResearchNov 28, 2007DIAMOND OA

Using Linguistic Cues for the Automatic Recognition of Personality in Conversation and Text

University of Sheffield · University of Arizona

Indexed incrossrefdoaj

Abstract

It is well known that utterances convey a great deal of information about the speaker in addition to their semantic content. One such type of information consists of cues to the speaker's personality traits, the most fundamental dimension of variation between humans. Recent work explores the automatic detection of other types of pragmatic variation in text and conversation, such as emotion, deception, speaker charisma, dominance, point of view, subjectivity, opinion and sentiment. Personality affects these other aspects of linguistic production, and thus personality recognition may be useful for these tasks, in addition to many other potential applications. However, to date, there is little work on the…

Citation impact

998
total citations
FWCI
16.46
Percentile
100%
References
124
Citations per year

Authors

4

Topics & keywords

Keywords
  • Personality
  • Conversation
  • Big Five personality traits
  • Artificial intelligence
  • Computer science
  • Variation (astronomy)
  • Natural language processing
  • Deception
UN Sustainable Development Goals
  • Quality Education
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