An overview of affective speech synthesis and conversion in the deep learning era
A Triantafyllopoulos, BW Schuller… - Proceedings of the …, 2023 - ieeexplore.ieee.org
Speech is the fundamental mode of human communication, and its synthesis has long been
a core priority in human–computer interaction research. In recent years, machines have …
a core priority in human–computer interaction research. In recent years, machines have …
[HTML][HTML] Transformer-based deep learning models for the sentiment analysis of social media data
ST Kokab, S Asghar, S Naz - Array, 2022 - Elsevier
Sentiment analysis (SA) is a widely used contextual mining technique for extracting useful
and subjective information from text-based data. It applies on Natural Language Processing …
and subjective information from text-based data. It applies on Natural Language Processing …
Text based personality prediction from multiple social media data sources using pre-trained language model and model averaging
The ever-increasing social media users has dramatically contributed to significant growth as
far as the volume of online information is concerned. Often, the contents that these users put …
far as the volume of online information is concerned. Often, the contents that these users put …
Editing personality for llms
This paper introduces an innovative task focused on editing the personality traits of Large
Language Models (LLMs). This task seeks to adjust the models' responses to opinion …
Language Models (LLMs). This task seeks to adjust the models' responses to opinion …
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 …
Predicting judging-perceiving of Myers-Briggs Type Indicator (MBTI) in online social forum
EJ Choong, KD Varathan - PeerJ, 2021 - peerj.com
Abstract The Myers-Briggs Type Indicator (MBTI) is a well-known personality test that
assigns a personality type to a user by using four traits dichotomies. For many years, people …
assigns a personality type to a user by using four traits dichotomies. For many years, people …
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 …
DesPrompt: Personality-descriptive prompt tuning for few-shot personality recognition
Personality recognition in text is a critical problem in classifying personality traits from the
input content of users. Recent studies address this issue by fine-tuning pre-trained language …
input content of users. Recent studies address this issue by fine-tuning pre-trained language …
[HTML][HTML] Combining machine learning algorithms for personality trait prediction
Personality is a unique trait that allows discriminating between individuals. It can be defined
by a set of stable characteristics of an individual that may affect their interactions …
by a set of stable characteristics of an individual that may affect their interactions …
Multi-document transformer for personality detection
Personality detection aims to identify the personality traits implied in social media posts. The
core of this task is to put together information in multiple scattered posts to depict an overall …
core of this task is to put together information in multiple scattered posts to depict an overall …