This is a review of a range of empirical studies that use digital text algorithms to predict and
model response patterns from humans to Likert-scale items, using texts only as inputs. The …

While machine learning (ML) can validly score psychological constructs from behavior,
several conditions often change across studies, making it difficult to understand why the …

Business organizations have introduced data analytics to human resource management
(HRM) to predict employee behavior in recent years. This practice is called HR analytics …

The accuracy of self-reported data in the social and behavioral sciences may be
compromised by response biases such as socially desirable responding. Researchers and …

Hope speech detection in social media is crucial for fostering positive engagement and
resilience within marginalized communities. By utilizing machine learning and NLP …

In recent decades, the increased availability of digital texts and other narratives, coupled
with programming tools such as web scra** and APIs, has enabled scholars to study …

The accuracy of self-reported data in the social and behavioral sciences may be
compromised by response biases such as socially desirable responding. Researchers and …

Personality detection has garnered significant attention in recent years, with applications
ranging from personalized user experiences to psychological analysis. This paper presents …

The growth of social media for self-awareness and self-expression has raised more attention
to the Myers-Briggs Type Indicator (MBTI) for analyzing people's personalities. Nevertheless …

Since the recent emergence of the transformer model architecture, the discipline of natural
language processing has advanced significantly, as these deep neural language models …