A Review of Deep Learning Models for Twitter Sentiment Analysis: Challenges and Opportunities
Microblogging site Twitter (re-branded to X since July 2023) is one of the most influential
online social media websites, which offers a platform for the masses to communicate …
online social media websites, which offers a platform for the masses to communicate …
Classification of breast cancer histopathological images using DenseNet and transfer learning
Breast cancer is one of the most common invading cancers in women. Analyzing breast
cancer is nontrivial and may lead to disagreements among experts. Although deep learning …
cancer is nontrivial and may lead to disagreements among experts. Although deep learning …
Sentimental analysis of Twitter users from Turkish content with natural language processing
C Balli, MS Guzel, E Bostanci… - Computational …, 2022 - Wiley Online Library
Artificial Intelligence has guided technological progress in recent years; it has shown
significant development with increased academic studies on Machine Learning and the high …
significant development with increased academic studies on Machine Learning and the high …
Deep crowd anomaly detection by fusing reconstruction and prediction networks
Abnormal event detection is one of the most challenging tasks in computer vision. Many
existing deep anomaly detection models are based on reconstruction errors, where the …
existing deep anomaly detection models are based on reconstruction errors, where the …
Sentiment analysis of financial textual data using machine learning and deep learning models
HO Ahmad, SU Umar - Informatica, 2023 - informatica.si
Recently, extensive research in the field of financial sentiment analysis has been conducted.
Sentiment analysis (SA) of any text data denotes the feelings and attitudes of the individual …
Sentiment analysis (SA) of any text data denotes the feelings and attitudes of the individual …
Sentiment Analysis in Turkish Question Answering Systems: An Application of Human-Robot Interaction
The use of the sentiment analysis technique, which aims to extract emotions and thoughts
from texts, has become a remarkable research topic today, where the importance of human …
from texts, has become a remarkable research topic today, where the importance of human …
Deep crowd anomaly detection: state-of-the-art, challenges, and future research directions
Crowd anomaly detection is one of the most popular topics in computer vision in the context
of smart cities. A plethora of deep learning methods have been proposed that generally …
of smart cities. A plethora of deep learning methods have been proposed that generally …
Using the AraBERT model for customer satisfaction classification of telecom sectors in Saudi Arabia
Customer satisfaction and loyalty are essential for every business. Feedback prediction and
social media classification are crucial and play a key role in accurately identifying customer …
social media classification are crucial and play a key role in accurately identifying customer …
Substituting clinical features using synthetic medical phrases: Medical text data augmentation techniques
Biomedical natural language processing (NLP) has an important role in extracting
consequential information in medical discharge notes. Detecting meaningful features from …
consequential information in medical discharge notes. Detecting meaningful features from …
The comparison of language models with a novel text filtering approach for turkish sentiment analysis
ZA Guven - ACM Transactions on Asian and Low-Resource …, 2022 - dl.acm.org
Today, comments can be made on many topics on web platforms with the development of
the internet. Analyzing the data of these comments is essential for companies and data …
the internet. Analyzing the data of these comments is essential for companies and data …