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 …
A hybrid framework for multivariate time series forecasting of daily urban water demand using attention-based convolutional neural network and long short-term …
S Zhou, S Guo, B Du, S Huang, J Guo - Sustainability, 2022 - mdpi.com
Urban water demand forecasting is beneficial for reducing the waste of water resources and
enhancing environmental protection in sustainable water management. However, it is a …
enhancing environmental protection in sustainable water management. However, it is a …
Breast lesion classification using features fusion and selection of ensemble ResNet method
Abstract Medical Imaging with Deep Learning has recently become the most prominent topic
in the scientific world. Significant results have been obtained in the classification of medical …
in the scientific world. Significant results have been obtained in the classification of medical …
[PDF][PDF] Sentiment Analysis of COVID-19 Vaccines in Indonesia on Twitter Using Pre-Trained and Self-Training Word Embeddings
KK Agustiningsih, E Utami, MA Alsyaibani - Jurnal Ilmu Komputer dan …, 2022 - core.ac.uk
Sentiment analysis regarding the COVID-19 vaccine can be obtained from social media
because users usually express their opinions through social media. One of the social media …
because users usually express their opinions through social media. One of the social media …
A new technique for sentiment analysis system based on deep learning using Chi-Square feature selection methods
The sentiment analysis system uses natural language processing techniques and a
sentimental vocabulary network. Sentiment analysis means discovering and recognizing …
sentimental vocabulary network. Sentiment analysis means discovering and recognizing …
Urdu named entity recognition system using deep learning approaches
Named entity recognition (NER) is a fundamental part of other natural language processing
tasks such as information retrieval, question answering systems and machine translation …
tasks such as information retrieval, question answering systems and machine translation …
What people think about fast food: opinions analysis and LDA modeling on fast food restaurants using unstructured tweets
With the rise of social media platforms, sharing reviews has become a social norm in today's
modern society. People check customer views on social networking sites about different fast …
modern society. People check customer views on social networking sites about different fast …
Enhancing artificial intelligence for twitter-based public discourse on food security during the COVID-19 pandemic
Objective: Food security during public health emergencies relies on situational awareness of
needs and resources. Artificial intelligence (AI) has revolutionized situational awareness …
needs and resources. Artificial intelligence (AI) has revolutionized situational awareness …
Thematic editorial: sentiment analysis
Y Manolopoulos - The Computer Journal, 2024 - academic.oup.com
With the advent of Web 2.0 it was possible for users to upload multimedia material, like text,
image, audio or video, to numerous online social networks (OSN), such as Facebook (now …
image, audio or video, to numerous online social networks (OSN), such as Facebook (now …
Team Error Point at BLP-2023 Task 2: A Comparative Exploration of Hybrid Deep Learning and Machine Learning Approach for Advanced Sentiment Analysis …
This paper presents a thorough and extensive investigation into the diverse models and
techniques utilized for sentiment analysis. What sets this research apart is the deliberate and …
techniques utilized for sentiment analysis. What sets this research apart is the deliberate and …