Recursive Joint Cross-Modal Attention for Multimodal Fusion in Dimensional Emotion Recognition

RG Praveen, J Alam - … of the IEEE/CVF Conference on …, 2024 - openaccess.thecvf.com
Though multimodal emotion recognition has achieved significant progress over recent years
the potential of rich synergic relationships across the modalities is not fully exploited. In this …

Machine Intelligence in Africa: a survey

AA Tapo, A Traoré, S Danioko, H Tembine - arXiv preprint arXiv …, 2024 - arxiv.org
In the last 5 years, the availability of large audio datasets in African countries has opened
unlimited opportunities to build machine intelligence (MI) technologies that are closer to the …

Unveiling Human Values: Analyzing Emotions behind Arguments

AR Jafari, P Rajapaksha, R Farahbakhsh, G Li… - Entropy, 2024 - mdpi.com
Detecting the underlying human values within arguments is essential across various
domains, ranging from social sciences to recent computational approaches. Identifying …

Exploring Sentiment Trends: Deep Learning Analysis of Social Media Reviews on Google Play Store by Netizens

R Eliviani, DD Wazaumi - International Journal of Advances in Data and …, 2024 - ijadis.org
This study explores sentiment analysis of Instagram app reviews using Long Short-Term
Memory (LSTM) algorithms. The rise of app stores has transformed digital interactions …

Explainable Artificial Intelligence (XAI) for Emotion Detection

MMT Ayyalasomayajula… - Machine and Deep …, 2024 - igi-global.com
This chapter delves into the significance of explainable artificial intelligence (XAI) in emotion
detection (ED) systems, which aim to provide transparency and interpretability in affective …

[PDF][PDF] The Use of Human Evaluators in Emotion Text-Detection

ZJ Abbas - assets.pubpub.org
Emotion detection and interpretation are multifaceted fields due to the complexities of
human language understanding. Through speech, individuals rely heavily on physical cues …