The analysis of authorial style, termed stylometry, assumes that style is quantifiably
measurable for evaluation of distinctive qualities. Stylometry research has yielded several …

Personality is a combination of all the attributes—behavioral, temperamental, emotional, and
mental—that characterizes a unique individual. Ability to identify personalities of people has …

Psychology research suggests that certain personality traits correlate with linguistic
behavior. This correlation can be effectively modeled with statistical natural language …

Personality is an important psychological construct accounting for individual differences in
people. Computational personality recognition from online social networks is gaining …

Automated personality prediction from social media is gaining increasing attention in natural
language processing and social sciences communities. However, due to high labeling costs …

Personality profiling is the task of detecting personality traits of authors based on writing
style. Several personality typologies exist, however, the Briggs-Myer Type Indicator (MBTI) is …

Personality and demographics are important variables in social sciences, while in NLP they
can aid in interpretability and removal of societal biases. However, datasets with both …

Applications of authorship attributionin the wild'[. Authorship attribution in the wild. Language
Resources and Evaluation. Advanced Access published January 12, 2010: 10.1007/s10579 …

Most studies in statistical or machine learning based authorship attribution focus on two or a
few authors. This leads to an overestimation of the importance of the features extracted from …

Personality Computing from text has become popular in Natural Language Processing
(NLP). For assessing gold-standard personality types, Big5 and MBTI are two popular …