[HTML][HTML] Predicting and explaining employee turnover intention
M Lazzari, JM Alvarez, S Ruggieri - … Journal of Data Science and Analytics, 2022 - Springer
Turnover intention is an employee's reported willingness to leave her organization within a
given period of time and is often used for studying actual employee turnover. Since …
given period of time and is often used for studying actual employee turnover. Since …
BiERU: Bidirectional emotional recurrent unit for conversational sentiment analysis
Sentiment analysis in conversations has gained increasing attention in recent years for the
growing amount of applications it can serve, eg, sentiment analysis, recommender systems …
growing amount of applications it can serve, eg, sentiment analysis, recommender systems …
Cross-subject multimodal emotion recognition based on hybrid fusion
Multimodal emotion recognition has gained traction in affective computing research
community to overcome the limitations posed by the processing a single form of data and to …
community to overcome the limitations posed by the processing a single form of data and to …
[HTML][HTML] Unlocking human-like conversations: Scoping review of automation techniques for personalized healthcare interventions using conversational agents
Abstract Background Conversational agents (CAs) offer a sustainable approach to deliver
personalized interventions and improve health outcomes. Objectives To review how human …
personalized interventions and improve health outcomes. Objectives To review how human …
Hierarchical attentive knowledge graph embedding for personalized recommendation
Abstract Knowledge graphs (KGs) have proven to be effective for high-quality
recommendation, where the connectivities between users and items provide rich and …
recommendation, where the connectivities between users and items provide rich and …
Multitask learning for multilingual intent detection and slot filling in dialogue systems
Dialogue systems are becoming an ubiquitous presence in our everyday lives having a
huge impact on business and society. Spoken language understanding (SLU) is the critical …
huge impact on business and society. Spoken language understanding (SLU) is the critical …
Sentiment analysis with deep neural networks: comparative study and performance assessment
R Wadawadagi, V Pagi - Artificial Intelligence Review, 2020 - Springer
The current decade has witnessed the remarkable developments in the field of artificial
intelligence, and the revolution of deep learning has transformed the whole artificial …
intelligence, and the revolution of deep learning has transformed the whole artificial …
An effective multimodal representation and fusion method for multimodal intent recognition
X Huang, T Ma, L Jia, Y Zhang, H Rong, N Alnabhan - Neurocomputing, 2023 - Elsevier
Intent recognition is a crucial task in natural language understanding. Current research
mainly focuses on task-specific unimodal intent recognition. However, in real-world scenes …
mainly focuses on task-specific unimodal intent recognition. However, in real-world scenes …
Measuring 9 emotions of news posts from 8 news organizations across 4 social media platforms for 8 months
Using Plutchik's wheel of emotions framework, we identify the emotional content of 133,487
social media posts and the audience's emotional engagement expressed in 2,824,162 …
social media posts and the audience's emotional engagement expressed in 2,824,162 …
Mell: Large-scale extensible user intent classification for dialogue systems with meta lifelong learning
User intent detection is vital for understanding their demands in dialogue systems. Although
the User Intent Classification (UIC) task has been widely studied, for large-scale industrial …
the User Intent Classification (UIC) task has been widely studied, for large-scale industrial …