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Systematic reviews in sentiment analysis: a tertiary study
With advanced digitalisation, we can observe a massive increase of user-generated content
on the web that provides opinions of people on different subjects. Sentiment analysis is the …
on the web that provides opinions of people on different subjects. Sentiment analysis is the …
A structural topic modeling-based bibliometric study of sentiment analysis literature
Sentiment analysis is an increasingly evolving field of research in computer science. With
the considerable number of studies on innovative sentiment analysis available, it is worth …
the considerable number of studies on innovative sentiment analysis available, it is worth …
A survey on pragmatic processing techniques
Pragmatics, situated in the domains of linguistics and computational linguistics, explores the
influence of context on language interpretation, extending beyond the literal meaning of …
influence of context on language interpretation, extending beyond the literal meaning of …
Emotion recognition based on convolutional neural networks and heterogeneous bio-signal data sources
Emotion recognition is a crucial application in human–computer interaction. It is usually
conducted using facial expressions as the main modality, which might not be reliable. In this …
conducted using facial expressions as the main modality, which might not be reliable. In this …
[HTML][HTML] Jointly modeling intra-and inter-session dependencies with graph neural networks for session-based recommendations
Recently, graph neural networks (GNNs) have achieved promising results in session-based
recommendation. Existing methods typically construct a local session graph and a global …
recommendation. Existing methods typically construct a local session graph and a global …
Learning user sentiment orientation in social networks for sentiment analysis
Sentiment analysis on social networks mines users' opinions, emotions, and attitudes to
derive useful insights into community opinions and can improve the sales strategies of e …
derive useful insights into community opinions and can improve the sales strategies of e …
Chinese EmoBank: Building valence-arousal resources for dimensional sentiment analysis
An increasing amount of research has recently focused on dimensional sentiment analysis
that represents affective states as continuous numerical values on multiple dimensions, such …
that represents affective states as continuous numerical values on multiple dimensions, such …
Fusion of heterogeneous attention mechanisms in multi-view convolutional neural network for text classification
The rapid proliferation of user generated content has given rise to large volumes of text
corpora. Increasingly, scholars, researchers, and organizations employ text classification to …
corpora. Increasingly, scholars, researchers, and organizations employ text classification to …
Interpretable tourism demand forecasting with temporal fusion transformers amid COVID-19
An innovative ADE-TFT interpretable tourism demand forecasting model was proposed to
address the issue of the insufficient interpretability of existing tourism demand forecasting …
address the issue of the insufficient interpretability of existing tourism demand forecasting …
An integrated method for product ranking through online reviews based on evidential reasoning theory and stochastic dominance
Online reviews play an important role in consumers' purchasing decisions. However, many
online reviews confuse consumers when they wish to make a purchase but lack experience …
online reviews confuse consumers when they wish to make a purchase but lack experience …