Deep learning for constructing microblog behavior representation to identify social media user’s personality
Xiaoqian Liu,Tingshao Zhu +1 more
TLDR
Deep learning algorithm is utilized to build feature learning model, which could unsupervised extract Linguistic Representation Feature Vector (LRFV) from text published on Sina Micro-blog actively, and the results show that LRFV performs more excellently in micro-blog behavior description and improve the performance of personality prediction model.Abstract:
1 Due to the rapid development of information technology, Internet has become part of everyday life gradually. People would like to communicate with friends to share their opinions on social networks. The diverse social network behavior is an ideal users’ personality traits reflection. Existing behavior analysis methods for personality prediction mostly extract behavior attributes with heuristic. Although they work fairly well, but it is hard to extend and maintain. In this paper, for personality prediction, we utilize deep learning algorithm to build feature learning model, which could unsupervised extract Linguistic Representation Feature Vector (LRFV) from text published on Sina Micro-blog actively. Compared with other feature extraction methods, LRFV, as an abstract representation of Micro-blog content, could describe use’s semantic information more objectively and comprehensively. In the experiments, the personality prediction model is built using linear regression algorithm, and different attributes obtained through different feature extraction methods are taken as input of prediction model respectively. The results show that LRFV performs more excellently in micro-blog behavior description and improve the performance of personality prediction model. 2read more
Citations
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此处“personality”译法探析
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An image encryption scheme based on a hybrid model of DNA computing, chaotic systems and hash functions
TL;DR: The experimental results and security analyses indicate that the proposed image encryption scheme not only has good encryption effect and able to resist against the known attacks, but also is sufficiently fast for practical applications.
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Who Am I? Personality Detection Based on Deep Learning for Texts
TL;DR: This paper proposes a model named 2CLSTM, which is a bidirectional LSTMs (Long Short Term Memory networks) concatenated with CNN (Convolutional Neural Network), to detect user's personality using structures of texts to show that the structure of texts can be also an important feature in the study of personality detection from texts.
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Personality Research and Assessment in the Era of Machine Learning
Clemens Stachl,Clemens Stachl,Florian Pargent,Sven Hilbert,Gabriella M. Harari,Ramona Schoedel,Sumer S. Vaid,Samuel D. Gosling,Samuel D. Gosling,Markus Bühner +9 more
TL;DR: The main challenges that researchers face when building, interpreting, and validating machine learning models are illustrated and some key issues that arise from the use of latent variables in the modelling process are highlighted.
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Personality-based refinement for sentiment classification in microblog
TL;DR: This work is among the first to explicitly explore the role of user's personality in social media analytics and its application in sentiment classification, and adopts an ensemble learning strategy to integrate traditional textual feature based and personality-based sentiment classification.
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