User personality prediction based on topic preference and sentiment analysis using LSTM model
J Zhao, D Zeng, Y Xiao, L Che, M Wang - Pattern Recognition Letters, 2020 - Elsevier
Based on the original text information, this paper converts the users' theme preferences and
text sentiment features into attention information and combines different forms with the LSTM …
text sentiment features into attention information and combines different forms with the LSTM …
[HTML][HTML] Predicting personality traits with semantic structures and LSTM-based neural networks
There is a need to obtain more information about target audiences in many areas such as
law enforcement agencies, institutions, human resources, and advertising agencies. In this …
law enforcement agencies, institutions, human resources, and advertising agencies. In this …
Personality traits prediction model from Turkish contents with semantic structures
Users' personality traits can provide different clues about them in the Internet environment.
Some areas where these clues can be used are law enforcement, advertising agencies …
Some areas where these clues can be used are law enforcement, advertising agencies …
Lingual markers for automating personality profiling: background and road ahead
MA Teli, MA Chachoo - Journal of Computational Social Science, 2022 - Springer
Personality is a psychological concept which embodies the unique characteristics of an
individual. An individual's distinct traits are embodied by the psychological concept of …
individual. An individual's distinct traits are embodied by the psychological concept of …
[PDF][PDF] Exploring neural network approaches in automatic personality recognition of Filipino Twitter users
ABSTRACT The field of Automatic Personality Recognition (APR) is steady growing in its
goal to determine and understand personality traits. Many studies that work on text data …
goal to determine and understand personality traits. Many studies that work on text data …