Systematic reviews in sentiment analysis: a tertiary study

A Ligthart, C Catal, B Tekinerdogan - Artificial intelligence review, 2021 - Springer
With advanced digitalisation, we can observe a massive increase of user-generated content
on the web that provides opinions of people on different subjects. Sentiment analysis is the …

Recent trends in deep learning based personality detection

Y Mehta, N Majumder, A Gelbukh… - Artificial Intelligence …, 2020 - Springer
Recently, the automatic prediction of personality traits has received a lot of attention.
Specifically, personality trait prediction from multimodal data has emerged as a hot topic …

Will affective computing emerge from foundation models and general artificial intelligence? A first evaluation of ChatGPT

MM Amin, E Cambria, BW Schuller - IEEE Intelligent Systems, 2023 - ieeexplore.ieee.org
ChatGPT has shown the potential of emerging general artificial intelligence capabilities, as it
has demonstrated competent performance across many natural language processing tasks …

KnowleNet: Knowledge fusion network for multimodal sarcasm detection

T Yue, R Mao, H Wang, Z Hu, E Cambria - Information Fusion, 2023 - Elsevier
Sarcasm is a form of communication often used to express contempt or ridicule, where the
speaker conveys a message opposite to their true meaning, typically intending to mock or …

Transformer based deep intelligent contextual embedding for twitter sentiment analysis

U Naseem, I Razzak, K Musial, M Imran - Future Generation Computer …, 2020 - Elsevier
Along with the emergence of the Internet, the rapid development of handheld devices has
democratized content creation due to the extensive use of social media and has resulted in …

Sentiment analysis of Twitter data during critical events through Bayesian networks classifiers

GA Ruz, PA Henríquez, A Mascareño - Future Generation Computer …, 2020 - Elsevier
Sentiment analysis through machine learning using Twitter data has become a popular topic
in recent years. Here we address the problem of sentiment analysis during critical events …

Beneath the tip of the iceberg: Current challenges and new directions in sentiment analysis research

S Poria, D Hazarika, N Majumder… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Sentiment analysis as a field has come a long way since it was first introduced as a task
nearly 20 years ago. It has widespread commercial applications in various domains like …

Misogyny detection in twitter: a multilingual and cross-domain study

EW Pamungkas, V Basile, V Patti - Information processing & management, 2020 - Elsevier
The freedom of expression given by social media has a dark side: the growing proliferation
of abusive contents on these platforms. Misogynistic speech is a kind of abusive language …

A survey on empathetic dialogue systems

Y Ma, KL Nguyen, FZ Xing, E Cambria - Information Fusion, 2020 - Elsevier
Dialogue systems have achieved growing success in many areas thanks to the rapid
advances of machine learning techniques. In the quest for generating more human-like …

A multitask learning model for multimodal sarcasm, sentiment and emotion recognition in conversations

Y Zhang, J Wang, Y Liu, L Rong, Q Zheng, D Song… - Information …, 2023 - Elsevier
Sarcasm, sentiment and emotion are tightly coupled with each other in that one helps the
understanding of another, which makes the joint recognition of sarcasm, sentiment and …