Detecting emotions using a combination of bidirectional encoder representations from transformers embedding and bidirectional long short-term memory.
One of the most difficult topics in natural language understanding (NLU) is emotion detection
in text because human emotions are difficult to understand without knowing facial …
in text because human emotions are difficult to understand without knowing facial …
Emotion Detection in Text Using Convolutional Neural Network
One of the difficult areas of automatic language understanding is emotion detection.
Research related to emotion detection in text is important to be developed so that emotion in …
Research related to emotion detection in text is important to be developed so that emotion in …
Deep Emotion Analysis:“Enhancing Emotion classification with Transformer Model”
P Mokshit, PS Prasad, NS Reddy… - 2024 15th International …, 2024 - ieeexplore.ieee.org
In the era of digital technology, it becomes very critical to perceive human emotions in
textual data from the point of view of many applications-sentiment analysis, mental health …
textual data from the point of view of many applications-sentiment analysis, mental health …