Challenges and opportunities of text-based emotion detection: A survey
A Al Maruf, F Khanam, MM Haque, ZM Jiyad… - IEEE …, 2024 - ieeexplore.ieee.org
Emotion detection has become an intriguing issue for researchers owing to its
psychological, social, and commercial significance. People express their feelings directly or …
psychological, social, and commercial significance. People express their feelings directly or …
[PDF][PDF] BERT-CNN: A Deep Learning Model for Detecting Emotions from Text.
Due to the widespread usage of social media in our recent daily lifestyles, sentiment
analysis becomes an important field in pattern recognition and Natural Language …
analysis becomes an important field in pattern recognition and Natural Language …
Emotion classification in a resource constrained language using transformer-based approach
Although research on emotion classification has significantly progressed in high-resource
languages, it is still infancy for resource-constrained languages like Bengali. However …
languages, it is still infancy for resource-constrained languages like Bengali. However …
Beyond information: is ChatGPT empathetic enough?
A Belkhir, F Sadat - … of the 14th International Conference on …, 2023 - aclanthology.org
This paper aims to explore and enhance ChatGPT's abilities to generate more human-like
conversations by taking into account the emotional state of the user. To achieve this goal, a …
conversations by taking into account the emotional state of the user. To achieve this goal, a …
Transformer transfer learning emotion detection model: synchronizing socially agreed and self-reported emotions in big data
Tactics to determine the emotions of authors of texts such as Twitter messages often rely on
multiple annotators who label relatively small data sets of text passages. An alternative …
multiple annotators who label relatively small data sets of text passages. An alternative …
A review on emotion detection by using deep learning techniques
Along with the growth of Internet with its numerous potential applications and diverse fields,
artificial intelligence (AI) and sentiment analysis (SA) have become significant and popular …
artificial intelligence (AI) and sentiment analysis (SA) have become significant and popular …
Improving the generalizability of text-based emotion detection by leveraging transformers with psycholinguistic features
In recent years, there has been increased interest in building predictive models that harness
natural language processing and machine learning techniques to detect emotions from …
natural language processing and machine learning techniques to detect emotions from …
Emotion and personality analysis and detection using natural language processing, advances, challenges and future scope
F Safari, A Chalechale - Artificial Intelligence Review, 2023 - Springer
Emotion detection from text is a relatively new sub-field of artificial intelligence closely
related to Sentiment Analysis (SA). SA detects positive, neutral, or negative emotions in text …
related to Sentiment Analysis (SA). SA detects positive, neutral, or negative emotions in text …
CLAS: A new deep learning approach for sentiment analysis from Twitter data
Sentiment analysis from text and natural language processing noticed a significant interest
over the last few years. It is due to the expansion of user-generated textual data that has …
over the last few years. It is due to the expansion of user-generated textual data that has …
A new sentiment analysis model to classify students' reviews on MOOCs
Nowadays, e-learning is a significant learning option, especially in light of the COVID-19
pandemic. However, it is a very challenging task because, in online courses, tutors have no …
pandemic. However, it is a very challenging task because, in online courses, tutors have no …