Extraction and Use of Personality Traits from Written Commentary

There is a colossal amount of data being generated regularly in the form of text from various channels by individuals in the form of posts, tweets, status, comments, blogs, reviews etc. Most of it belongs to some conversation where real-world individuals discuss, analyze, comment, exchange information. Deriving personality traits from textual data can be useful in observing the underlying attributes of the author's personality which might explain a lot about their behavior, traits etc. These insights of the individual can be utilized to obtain a clear picture of their personality and accordingly a variety of services, utilities would follow automatically.

• Publication year

  2018

• Venue

  2018 International Conference on Computational Science and Computational Intelligence (CSCI)

• Publication date

  2018-12-01

• Fields of study

  Computer Science, Psychology

• Identifiers
  DOI 10.1109/CSCI46756.2018.00258
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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• No citing papers are available for this paper.