Recently, the automatic prediction of personality traits has received a lot of attention.
Specifically, personality trait prediction from multimodal data has emerged as a hot topic …

To what extent does our online activity reveal who we are? Recent research has
demonstrated that the digital traces left by individuals as they browse and interact with …

We overview the framework and the results for the Author Profiling Shared Task organised at
PAN 2015. This year's task aims at identifying age, gender, and personality traits of Twitter …

Determining some demographics about the author of a document (eg, gender, age) has
attracted many studies during the last decade. To solve this author profiling task, various …

Many methods have been used to recognize author personality traits from text, typically
combining linguistic feature engineering with shallow learning models, eg linear regression …

Public information access services are provided by dozens of countries around the world as
a means to promote transparency and democracy, and present a number of research …

To determine author demographics of texts in social media such as Twitter, blogs, and
reviews, we use doc2vec document embeddings to train a logistic regression classifier. We …

Personality recognition is a classic and important problem in social engineering. Due to the
small number and particularity of personality recognition databases, only limited research …

This paper describes an experiment done to investigate author profiling of tweets in English
and Spanish, particularly for cross genre evaluation. Profiling consists of age and gender …

ABSTRACT Advances in the Natural Language Processing (NLP) and machine learning
fields have led to the development of automated methods for the recognition of personality …