Identification and Prediction of Human Behavior through Mining of Unstructured Textual Data

Identification and Prediction of Human Behavior through Mining of Unstructured Textual Data

The identification of human behavior can provide useful information across multiple job spectra. Recent advances in applying data-based approaches to social sciences have increased the feasibility of modeling human behavior. In particular, studying human behavior by analyzing unstructured textual da...

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Bibliographic Details
Main Authors: Mohammad Reza Davahli, Waldemar Karwowski, Edgar Gutierrez, Krzysztof Fiok, Grzegorz Wróbel, Redha Taiar, Tareq Ahram
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Symmetry
Subjects:
human behavior
personality traits
data-based approaches
machine learning
unstructured textual data
Online Access:https://www.mdpi.com/2073-8994/12/11/1902

Internet

https://www.mdpi.com/2073-8994/12/11/1902

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