Multimodal sentiment analysis: A systematic review of history, datasets, multimodal fusion methods, applications, challenges and future directions
Sentiment analysis (SA) has gained much traction In the field of artificial intelligence (AI) and
natural language processing (NLP). There is growing demand to automate analysis of user …
natural language processing (NLP). There is growing demand to automate analysis of user …
[HTML][HTML] Artificial intelligence in E-Commerce: a bibliometric study and literature review
This paper synthesises research on artificial intelligence (AI) in e-commerce and proposes
guidelines on how information systems (IS) research could contribute to this research …
guidelines on how information systems (IS) research could contribute to this research …
How intense are you? Predicting intensities of emotions and sentiments using stacked ensemble [application notes]
Emotions and sentiments are subjective in nature. They differ on a case-to-case basis.
However, predicting only the emotion and sentiment does not always convey complete …
However, predicting only the emotion and sentiment does not always convey complete …
An overview of recommendation techniques and their applications in healthcare
With the increasing amount of information on the internet, recommendation system (RS) has
been utilized in a variety of fields as an efficient tool to overcome information overload. In …
been utilized in a variety of fields as an efficient tool to overcome information overload. In …
Privacy-preserving quality prediction for edge-based IoT services
Abstract Quality of Service (QoS) prediction and privacy preservation are two key challenges
in service recommendation. Nevertheless, the existing QoS prediction methods cannot be …
in service recommendation. Nevertheless, the existing QoS prediction methods cannot be …
AI-based mobile context-aware recommender systems from an information management perspective: Progress and directions
M del Carmen Rodríguez-Hernández, S Ilarri - Knowledge-Based Systems, 2021 - Elsevier
Abstract In the Artificial Intelligence (AI) field, and particularly within the area of Machine
Learning (ML), recommender systems have attracted significant research attention. These …
Learning (ML), recommender systems have attracted significant research attention. These …
Paper recommendation based on heterogeneous network embedding
Researchers face millions of research papers on various digital libraries. Therefore, finding
relevant research work that meets the preferences of a researcher is a challenging task …
relevant research work that meets the preferences of a researcher is a challenging task …
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 …
ECPEC: Emotion-cause pair extraction in conversations
Conversational sentiment analysis (CSA) and emotion-cause pair extraction (ECPE) tasks
have attracted increasing attention in recent years. The former aims to predict the sentiment …
have attracted increasing attention in recent years. The former aims to predict the sentiment …
A text GAN framework for creative essay recommendation
Automated essay scoring is one of the most exciting tasks in natural language processing,
reducing massive workloads and speeding up the learning process and its effectiveness …
reducing massive workloads and speeding up the learning process and its effectiveness …