Deep learning for Arabic subjective sentiment analysis: Challenges and research opportunities

AB Nassif, A Elnagar, I Shahin, S Henno - Applied Soft Computing, 2021 - Elsevier
The fields of machine learning and Web technologies have witnessed significant
development in the last years. This caused a ceaseless and rapid growth in sharing of the …

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 …

Emotion detection in hinglish (hindi+ english) code-mixed social media text

TT Sasidhar, B Premjith, KP Soman - Procedia Computer Science, 2020 - Elsevier
Human communication is often embedded with emotion and it can be expressed via
different mediums like vocal interaction, texts, non-verbal communication like facial …

Looking into gait for perceiving emotions via bilateral posture and movement graph convolutional networks

Y Zhai, G Jia, YK Lai, J Zhang, J Yang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Emotions can be perceived from a person's gait, ie, their walking style. Existing methods on
gait emotion recognition mainly leverage the posture information as input, but ignore the …

Emotion detection in roman urdu text using machine learning

A Majeed, H Mujtaba, MO Beg - Proceedings of the 35th IEEE/ACM …, 2020 - dl.acm.org
Emotion detection is playing a very important role in our life. People express their emotions
in different ways ie face expression, gestures, speech, and text. This research focuses on …

A Survey of Cutting-edge Multimodal Sentiment Analysis

U Singh, K Abhishek, HK Azad - ACM Computing Surveys, 2024 - dl.acm.org
The rapid growth of the internet has reached the fourth generation, ie, web 4.0, which
supports Sentiment Analysis (SA) in many applications such as social media, marketing, risk …

[HTML][HTML] Deep learning with anaphora resolution for the detection of tweeters with depression: Algorithm development and validation study

A Wongkoblap, MA Vadillo, V Curcin - JMIR Mental Health, 2021 - mental.jmir.org
Background: Mental health problems are widely recognized as a major public health
challenge worldwide. This concern highlights the need to develop effective tools for …

Does keystroke dynamics tell us about emotions? A systematic literature review and dataset construction

A Maalej, I Kallel - 2020 16th International Conference on …, 2020 - ieeexplore.ieee.org
There is strong evidence that emotional states affect the Human's performance and decision-
making. Therefore, understanding Human emotions has become of great concern in the field …

[HTML][HTML] Affect detection from arabic tweets using ensemble and deep learning techniques

O AlZoubi, SK Tawalbeh, ALS Mohammad - Journal of King Saud …, 2022 - Elsevier
Affect detection from text has captured the attention of researchers recently. This is due to
the rapid use of social media sites (eg Twitter, Facebook), which allows users to express …

Hell hath no fury? correcting bias in the nrc emotion lexicon

S Zad, J Jimenez, M Finlayson - … of the 5th Workshop on Online …, 2021 - aclanthology.org
There have been several attempts to create an accurate and thorough emotion lexicon in
English, which identifies the emotional content of words. Of the several commonly used …