2016年10月19日 · This paper proposes a novel Personality Trait LDA (PT-LDA) model to predict the personality traits and mine the relationships between personality traits and user behavior (e.g. topic preferences) based on massive social network information.

2016年10月19日 · Latent Dirichlet allocation(LDA) is a generative topic model to find latent topics in a text corpus. It can be trained via collapsed Gibbs sampling. In this project, we train LDA models on two …

Considering the personality recognition as a multi-label classification problem, this paper proposes a new probabilistic topic model (PT-LDA model) to predict the personality traits within the framework of Five Factor Model.

Considering the personality recognition as a multi-label classification problem, this paper proposes a new probabilistic topic model (PT-LDA model) to predict the personality traits within the framework of Five Factor Model.

2016年6月1日 · Considering the personality recognition as a multi-label classification problem, this paper proposes a new probabilistic topic model (PT-LDA model) to predict the personality traits within the...

2022年3月16日 · Considering the personality recognition as a multi-labelclassif i cation problem, this paper proposes a new probabilistic topic model (PT-LDA model) to predict thepersonality …

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The review offers a basic overview and comparison of LDA modifications which can be considered as a knowledge baseline for selection in a specific application.

2016年10月19日 · This paper proposes a novel Personality Trait LDA (PT-LDA) model to predict the personality traits and mine the relationships between personality traits and user behavior (e.g. topic preferences) based on massive social network information. In the PT-LDA model, the personality traits of a user are characterized with the Five Factor Model.

在线替代品系列销售的动态协同价格策略研究，PT-LDA:A Latent Variable Model to Predict Personality Traits of Social Network Users，刘业政,王佳佳,姜元春,，Neurocomputing 再问科研