A review of generalized zero-shot learning methods
Generalized zero-shot learning (GZSL) aims to train a model for classifying data samples
under the condition that some output classes are unknown during supervised learning. To …
under the condition that some output classes are unknown during supervised learning. To …
Fuzzy logic applied to opinion mining: a review
The advent of Web 2.0 and its continuous growth has yielded enormous amounts of freely
available user-generated information. Within this information, it is easy to find subjective …
available user-generated information. Within this information, it is easy to find subjective …
ABCDM: An attention-based bidirectional CNN-RNN deep model for sentiment analysis
Sentiment analysis has been a hot research topic in natural language processing and data
mining fields in the last decade. Recently, deep neural network (DNN) models are being …
mining fields in the last decade. Recently, deep neural network (DNN) models are being …
A novel fusion-based deep learning model for sentiment analysis of COVID-19 tweets
Abstract Undoubtedly, coronavirus (COVID-19) has caused one of the biggest challenges of
all times. The ongoing COVID-19 pandemic has caused more than 150 million infected …
all times. The ongoing COVID-19 pandemic has caused more than 150 million infected …
[HTML][HTML] A novel machine learning approach for sentiment analysis on Twitter incorporating the universal language model fine-tuning and SVM
B AlBadani, R Shi, J Dong - Applied System Innovation, 2022 - mdpi.com
Twitter sentiment detectors (TSDs) provide a better solution to evaluate the quality of service
and product than other traditional technologies. The classification accuracy and detection …
and product than other traditional technologies. The classification accuracy and detection …
The climate change Twitter dataset
This work creates and makes publicly available the most comprehensive dataset to date
regarding climate change and human opinions via Twitter. It has the heftiest temporal …
regarding climate change and human opinions via Twitter. It has the heftiest temporal …
BARF: A new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classification
Automatic medical image analysis (eg, medical image classification) is widely used in the
early diagnosis of various diseases. The computer-aided diagnosis (CAD) systems enable …
early diagnosis of various diseases. The computer-aided diagnosis (CAD) systems enable …
Public attention, perception, and attitude towards nuclear power in China: a large-scale empirical analysis based on social media
P Gong, L Wang, Y Wei, Y Yu - Journal of Cleaner Production, 2022 - Elsevier
This study aims to explore the public's attention, perception and attitude towards nuclear
power expressed on social media platforms. Specifically, the status of public perception …
power expressed on social media platforms. Specifically, the status of public perception …
[HTML][HTML] A machine learning approach in analysing the effect of hyperboles using negative sentiment tweets for sarcasm detection
V Govindan, V Balakrishnan - Journal of King Saud University-Computer …, 2022 - Elsevier
This paper investigates negative sentiment tweets with the presence of hyperboles for
sarcasm detection. Six thousand and six hundred pre-processed negative sentiment tweets …
sarcasm detection. Six thousand and six hundred pre-processed negative sentiment tweets …
Topic Modelling and Opinion Analysis On Climate Change Twitter Data Using LDA And BERT Model.
SE Uthirapathy, D Sandanam - Procedia Computer Science, 2023 - Elsevier
Nowadays, Climate change is an important environmental factor that affects every living
thing on the earth. It is very essential to study the public perceptions regarding the disaster …
thing on the earth. It is very essential to study the public perceptions regarding the disaster …