In recent years, our increasing use of technology has resulted in the production of vast
amounts of data. Consequently, many researchers have analyzed digital data in attempt to …

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 …

Social media has enabled information-sharing across massively large networks of people
without spending much financial resources and time that are otherwise required in the print …

Automatically recognizing personality based on historical action logs in online social
networks is a promising method to infer a person's behaviors, and it has received a lot of …

Many approaches have been proposed to automatically infer users personality from their
social networks activities. However, the performance of these approaches depends heavily …

Online social networks are becoming a very rich source of user generated content. This
content motivates different types of applications that rely on personalization; such as …

An individual's personality determines the probable repertoire of their reactions to a
particular situation. A social robot is much more effective if it is able to learn and so take into …

Facebook is the largest and the most popular online social network application that records
large amount of users' behavior expressed in various activities such as Facebook likes …

Automatic personality recognition aims to assign a personal profile to the author by
measuring the Big Five personality factors automatically. The present paper focuses on an …

Understanding the extent to which computational results can change across platforms,
compilers, and compiler flags can go a long way toward supporting reproducible …