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 …
on the web that provides opinions of people on different subjects. Sentiment analysis is the …
Recent trends in deep learning based personality detection
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 …
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
ChatGPT has shown the potential of emerging general artificial intelligence capabilities, as it
has demonstrated competent performance across many natural language processing tasks …
has demonstrated competent performance across many natural language processing tasks …
KnowleNet: Knowledge fusion network for multimodal sarcasm detection
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 …
speaker conveys a message opposite to their true meaning, typically intending to mock or …
Transformer based deep intelligent contextual embedding for twitter sentiment analysis
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 …
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
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 …
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
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 …
nearly 20 years ago. It has widespread commercial applications in various domains like …
Misogyny detection in twitter: a multilingual and cross-domain study
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 …
of abusive contents on these platforms. Misogynistic speech is a kind of abusive language …
A survey on empathetic dialogue systems
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 …
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
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 …
understanding of another, which makes the joint recognition of sarcasm, sentiment and …