State of the art: a review of sentiment analysis based on sequential transfer learning
Recently, sequential transfer learning emerged as a modern technique for applying the
“pretrain then fine-tune” paradigm to leverage existing knowledge to improve the …
“pretrain then fine-tune” paradigm to leverage existing knowledge to improve the …
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 …
Discrete memristive neuron model and its interspike interval-encoded application in image encryption
Bursting is a diverse and common phenomenon in neuronal activation patterns and it
indicates that fast action voltage spiking periods are followed by resting periods. The …
indicates that fast action voltage spiking periods are followed by resting periods. The …
Multi-class 12-lead ECG automatic diagnosis based on a novel subdomain adaptive deep network
Arrhythmia is a common type of cardiovascular disease, which has become the leading
cause of global deaths. Recently, automatic 12-lead ECG diagnosis system based on …
cause of global deaths. Recently, automatic 12-lead ECG diagnosis system based on …
An aspect sentiment classification model for graph attention networks incorporating syntactic, semantic, and knowledge
S Zhang, H Gong, L She - Knowledge-Based Systems, 2023 - Elsevier
Aspect sentiment classification tasks aim to identify the aspect in a sentence and express the
sentiment polarities of the aspect. In existing studies, combining different deep learning …
sentiment polarities of the aspect. In existing studies, combining different deep learning …
Long-tailed object detection of kitchen waste with class-instance balanced detector
LY Fang, Q Tang, LH Ouyang, JW Yu, JX Lin… - Science China …, 2023 - Springer
Intelligent detection and classification of kitchen waste can promote ecological sustainability
by replacing inefficient manual processes. However, the presence of non-degradable waste …
by replacing inefficient manual processes. However, the presence of non-degradable waste …
Optimized long short-term memory-based stock price prediction with sentiment score
Y Ayyappa, AP Siva Kumar - Social Network Analysis and Mining, 2022 - Springer
Sentiment analysis examines the emotional content of a statement, such as views,
assessments, feelings, or attitudes about a topic, human, or object. Emotions can be …
assessments, feelings, or attitudes about a topic, human, or object. Emotions can be …
Automated sentimental analysis using heuristic-based CNN-BiLSTM for E-commerce dataset
N Ramshankar, JP PM - Data & Knowledge Engineering, 2023 - Elsevier
The sentimental analysis is processed according to structural detection, extraction,
quantification, and evaluation of impacts and information present in natural language …
quantification, and evaluation of impacts and information present in natural language …
Humanoid robot heads for human-robot interaction: A review
Y Li, LX Zhu, ZQ Zhang, MF Guo, ZX Li, YB Li… - Science China …, 2024 - Springer
The humanoid robot head plays an important role in the emotional expression of human-
robot interaction (HRI). They are emerging in industrial manufacturing, business reception …
robot interaction (HRI). They are emerging in industrial manufacturing, business reception …
Breaking barriers in sentiment analysis and text emotion detection: toward a unified assessment framework
ADL Languré, M Zareei - IEEE Access, 2023 - ieeexplore.ieee.org
Sentiment analysis (SA) and text emotion detection (TED) are two computer techniques
used to analyze text. SA categorizes text into positive, negative, or neutral opinions, while …
used to analyze text. SA categorizes text into positive, negative, or neutral opinions, while …