Deep learning-based multimodal emotion recognition from audio, visual, and text modalities: A systematic review of recent advancements and future prospects
S Zhang, Y Yang, C Chen, X Zhang, Q Leng… - Expert Systems with …, 2024 - Elsevier
Emotion recognition has recently attracted extensive interest due to its significant
applications to human–computer interaction. The expression of human emotion depends on …
applications to human–computer interaction. The expression of human emotion depends on …
Impact of word embedding models on text analytics in deep learning environment: a review
The selection of word embedding and deep learning models for better outcomes is vital.
Word embeddings are an n-dimensional distributed representation of a text that attempts to …
Word embeddings are an n-dimensional distributed representation of a text that attempts to …
Survey on sentiment analysis: evolution of research methods and topics
Sentiment analysis, one of the research hotspots in the natural language processing field,
has attracted the attention of researchers, and research papers on the field are increasingly …
has attracted the attention of researchers, and research papers on the field are increasingly …
A machine learning-based sentiment analysis of online product reviews with a novel term weighting and feature selection approach
H Zhao, Z Liu, X Yao, Q Yang - Information Processing & Management, 2021 - Elsevier
Recently, online shopping has turned into a mainstream means for users to purchase as
well as consume with the upsurge development of Internet technology. User satisfaction can …
well as consume with the upsurge development of Internet technology. User satisfaction can …
Improving aspect-based sentiment analysis with Knowledge-aware Dependency Graph Network
H Wu, C Huang, S Deng - Information Fusion, 2023 - Elsevier
Aspect-based sentiment analysis (ABSA) aims to mine multiple sentiment–target pairs
contained in a review sentence. The main challenge of this task is how to extract the …
contained in a review sentence. The main challenge of this task is how to extract the …
Automatic question generation and answer assessment: a survey
Learning through the internet becomes popular that facilitates learners to learn anything,
anytime, anywhere from the web resources. Assessment is most important in any learning …
anytime, anywhere from the web resources. Assessment is most important in any learning …
Using of Visual Application in Arabic Language Learning Class X MAN 1 Kuantan Singingi
A Amrina, I Akhiri, C Lee… - Scientechno: Journal of …, 2022 - journal.ypidathu.or.id
This article is a utilization research that really needs literacy and reading materials in
describing a discussion, which is through knowledge of the background of an incident, and …
describing a discussion, which is through knowledge of the background of an incident, and …
Arabic fake news detection based on deep contextualized embedding models
Social media is becoming a source of news for many people due to its ease and freedom of
use. As a result, fake news has been spreading quickly and easily regardless of its …
use. As a result, fake news has been spreading quickly and easily regardless of its …
[HTML][HTML] Breaking down linguistic complexities: A structured approach to aspect-based sentiment analysis
Aspect-based sentiment analysis refers to the task of determining the sentiment polarity
associated with particular aspects mentioned in a sentence or document. Previous studies …
associated with particular aspects mentioned in a sentence or document. Previous studies …
A benchmark for evaluating Arabic contextualized word embedding models
Word embeddings, which represent words as numerical vectors in a high-dimensional
space, are contextualized by generating a unique vector representation for each sense of a …
space, are contextualized by generating a unique vector representation for each sense of a …