Emotion recognition from unimodal to multimodal analysis: A review
K Ezzameli, H Mahersia - Information Fusion, 2023 - Elsevier
The omnipresence of numerous information sources in our daily life brings up new
alternatives for emotion recognition in several domains including e-health, e-learning …
alternatives for emotion recognition in several domains including e-health, e-learning …
A survey of textual emotion recognition and its challenges
Textual language is the most natural carrier of human emotion. In natural language
processing, textual emotion recognition (TER) has become an important topic due to its …
processing, textual emotion recognition (TER) has become an important topic due to its …
A survey on opinion mining and sentiment analysis: tasks, approaches and applications
With the advent of Web 2.0, people became more eager to express and share their opinions
on web regarding day-to-day activities and global issues as well. Evolution of social media …
on web regarding day-to-day activities and global issues as well. Evolution of social media …
An emotional analysis of false information in social media and news articles
Fake news is risky, since it has been created to manipulate readers' opinions and beliefs. In
this work, we compared the language of false news to the real one of real news from an …
this work, we compared the language of false news to the real one of real news from an …
[HTML][HTML] Sentiment analysis in health and well-being: systematic review
Background Sentiment analysis (SA) is a subfield of natural language processing whose
aim is to automatically classify the sentiment expressed in a free text. It has found practical …
aim is to automatically classify the sentiment expressed in a free text. It has found practical …
Roles of negative emotions in customers' perceived helpfulness of hotel reviews on a user-generated review website: A text mining approach
Purpose This paper aims to explore how emotional expressions embedded in online hotel
reviews influence consumers' helpfulness perceptions. In particular, this study develops and …
reviews influence consumers' helpfulness perceptions. In particular, this study develops and …
Leveraging emotional signals for credibility detection
The spread of false information on the Web is one of the main problems of our society.
Automatic detection of fake news posts is a hard task since they are intentionally written to …
Automatic detection of fake news posts is a hard task since they are intentionally written to …
Irony detection in twitter: The role of affective content
Irony has been proven to be pervasive in social media, posing a challenge to sentiment
analysis systems. It is a creative linguistic phenomenon where affect-related aspects play a …
analysis systems. It is a creative linguistic phenomenon where affect-related aspects play a …
Figurative messages and affect in Twitter: Differences between# irony,# sarcasm and# not
The use of irony and sarcasm has been proven to be a pervasive phenomenon in social
media posing a challenge to sentiment analysis systems. Such devices, in fact, can …
media posing a challenge to sentiment analysis systems. Such devices, in fact, can …
Sentiment and context-aware hybrid DNN with attention for text sentiment classification
A tremendous amount of unstructured data, such as comments, opinions, and other sorts of
data is generated in real-time with the growth of web 2.0. Due to the unstructured nature of …
data is generated in real-time with the growth of web 2.0. Due to the unstructured nature of …