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] Banglabert: Combating embedding barrier in multilingual models for low-resource language understanding
In this paper, we introduce “Embedding Barrier”, a phenomenon that limits the monolingual
performance of multilingual models on low-resource languages having unique typologies …
performance of multilingual models on low-resource languages having unique typologies …
Classification of textual sentiment using ensemble technique
In recent years, the widespread use of the Internet has resulted in a revolutionary way for
people to share their feelings or sentiment on blogs, social media, e-commerce sites, and …
people to share their feelings or sentiment on blogs, social media, e-commerce sites, and …
Multi-class sports news categorization using machine learning techniques: resource creation and evaluation
The proliferation of the Internet and social media usage creates enormous textual data
(specifically, news content) on the web. The most proportion of contents primarily are …
(specifically, news content) on the web. The most proportion of contents primarily are …
[HTML][HTML] AVaTER: Fusing Audio, Visual, and Textual Modalities Using Cross-Modal Attention for Emotion Recognition
Multimodal emotion classification (MEC) involves analyzing and identifying human emotions
by integrating data from multiple sources, such as audio, video, and text. This approach …
by integrating data from multiple sources, such as audio, video, and text. This approach …
Temox: Classification of textual emotion using ensemble of transformers
Textual emotion classification (TxtEC) refers to the classification of emotion expressed by
individuals in textual form. The widespread use of the Internet and numerous Web 2.0 …
individuals in textual form. The widespread use of the Internet and numerous Web 2.0 …
Detecting level of depression from social media posts for the low-resource bengali language
Depression is a mental illness that suffers people in their thoughts and daily activities. In
extreme cases, sometimes it leads to self-destruction or commit to suicide. Besides an …
extreme cases, sometimes it leads to self-destruction or commit to suicide. Besides an …
Transformer-based text classification on unified Bangla multi-class emotion corpus
In this research, we propose a complete set of approaches for identifying and extracting
emotions from Bangla texts. We provide a Bangla emotion classifier for six classes: anger …
emotions from Bangla texts. We provide a Bangla emotion classifier for six classes: anger …
Multi-class textual emotion categorization using ensemble of convolutional and recurrent neural network
Categorizing emotion refers to extracting the individuals' behaviour from texts and assigning
textual units into an emotion from predefined emotional connotations. Identification and …
textual units into an emotion from predefined emotional connotations. Identification and …
[PDF][PDF] Depression intensity identification using transformer ensemble technique for the resource-constrained Bengali language
Depression is an ordinary mental health-related disorder that hampers people's daily
activities, and sometimes, it destroys an individual's life. It is one of the major social issues at …
activities, and sometimes, it destroys an individual's life. It is one of the major social issues at …