Closed-and open-vocabulary approaches to text analysis: A review, quantitative comparison, and recommendations.
Technology now makes it possible to understand efficiently and at large scale how people
use language to reveal their everyday thoughts, behaviors, and emotions. Written text has …
use language to reveal their everyday thoughts, behaviors, and emotions. Written text has …
[HTML][HTML] Beyond rating scales: With targeted evaluation, large language models are poised for psychological assessment
In this narrative review, we survey recent empirical evaluations of AI-based language
assessments and present a case for the technology of large language models to be poised …
assessments and present a case for the technology of large language models to be poised …
Getting personal: A deep learning artifact for text-based measurement of personality
Analysts, managers, and policymakers are interested in predictive analytics capable of
offering better foresight. It is generally accepted that in forecasting scenarios involving …
offering better foresight. It is generally accepted that in forecasting scenarios involving …
Attention-based BiLSTM models for personality recognition from user-generated content
Emojis have been widely used in social media as a new way to express various emotions
and personalities. However, most previous research only focused on limited features from …
and personalities. However, most previous research only focused on limited features from …
A survey on pragmatic processing techniques
Pragmatics, situated in the domains of linguistics and computational linguistics, explores the
influence of context on language interpretation, extending beyond the literal meaning of …
influence of context on language interpretation, extending beyond the literal meaning of …
PANDORA talks: Personality and demographics on Reddit
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 …
can aid in interpretability and removal of societal biases. However, datasets with both …
Findings of wassa 2024 shared task on empathy and personality detection in interactions
This paper presents the results of the WASSA 2024 shared task on predicting empathy,
emotion, and personality in conversations and reactions to news articles. Participating teams …
emotion, and personality in conversations and reactions to news articles. Participating teams …
Systematic evaluation of gpt-3 for zero-shot personality estimation
Very large language models (LLMs) perform extremely well on a spectrum of NLP tasks in a
zero-shot setting. However, little is known about their performance on human-level NLP …
zero-shot setting. However, little is known about their performance on human-level NLP …
Open models, closed minds? on agents capabilities in mimicking human personalities through open large language models
L La Cava, A Tagarelli - arXiv preprint arXiv:2401.07115, 2024 - arxiv.org
The emergence of unveiling human-like behaviors in Large Language Models (LLMs) has
led to a closer connection between NLP and human psychology. Scholars have been …
led to a closer connection between NLP and human psychology. Scholars have been …
Orders are unwanted: dynamic deep graph convolutional network for personality detection
Predicting personality traits based on online posts has emerged as an important task in
many fields such as social network analysis. One of the challenges of this task is assembling …
many fields such as social network analysis. One of the challenges of this task is assembling …