Well-being is an important value for people's lives, and it could be considered as an index of
societal progress. Researchers have suggested two main approaches for the overall …

Exploring large corpora can generate useful discoveries but is time-consuming for humans.
We formulate a new task, D5, that automatically discovers differences between two large …

Unsupervised clustering is widely used to explore large corpora, but existing formulations
neither consider the users' goals nor explain clusters' meanings. We propose a new task …

Recent years have seen many breakthroughs in natural language processing (NLP),
transitioning it from a mostly theoretical field to one with many real-world applications …

Automatic generation of texts with different sentiment labels has wide use in artificial
intelligence applications such as conversational agents. It is an important problem to be …

This study aims to explore how machine learning classification accuracy changes with
different demographic groups. The HappyDB is a dataset that contains over 100,000 happy …

This article attempts to study the language of happiness from a double perspective. First, the
impact and relevance of sentiment words and expressions in self-reported descriptions of …

Personality is a set of stable and tendentious behaviors, thoughts and emotions. How to
measure personality more conveniently and accurately has always been a problem for …

This paper proposes and evaluates PsyAM (https://anonymous. 4open. science/r/BERT-
PsyAM-10B9), a framework that incorporates adaptor modules in a sequential multi-task …

This study reports experiments with the newly-released CL-Aff HappyDB dataset, which
looks beyond positive emotion in modeling descriptions of happy moments collected …