[HTML][HTML] A systematic review of social media-based sentiment analysis: Emerging trends and challenges
In the present information age, a wide and significant variety of social media platforms have
been developed and become an important part of modern life. Massive amounts of user …
been developed and become an important part of modern life. Massive amounts of user …
Hybrid deep learning models for sentiment analysis
Sentiment analysis on public opinion expressed in social networks, such as Twitter or
Facebook, has been developed into a wide range of applications, but there are still many …
Facebook, has been developed into a wide range of applications, but there are still many …
Machine learning technologies for big data analytics
Big data analytics is one high focus of data science and there is no doubt that big data is
now quickly growing in all science and engineering fields. Big data analytics is the process …
now quickly growing in all science and engineering fields. Big data analytics is the process …
The Sharing Economy: A Systematic Literature Review and Research Agenda
The sharing economy has emerged as a transformative model in the digital age. However,
existing reviews often focus on isolated aspects and provide limited insights into its …
existing reviews often focus on isolated aspects and provide limited insights into its …
[HTML][HTML] The impact of synthetic text generation for sentiment analysis using GAN based models
Data imbalance in datasets is a common issue where the number of instances in one or
more categories far exceeds the others, so is the case with the educational domain …
more categories far exceeds the others, so is the case with the educational domain …
Natural language processing and sentiment analysis on bangla social media comments on russia–ukraine war using transformers
The Bangla Language ranks seventh in the list of most spoken languages with 265 native
and non-native speakers around the world and the second Indo-Aryan language after Hindi …
and non-native speakers around the world and the second Indo-Aryan language after Hindi …
Integrating multi-criteria decision-making with hybrid deep learning for sentiment analysis in recommender systems
S Angamuthu, P Trojovský - PeerJ Computer Science, 2023 - peerj.com
Expert assessments with pre-defined numerical or language terms can limit the scope of
decision-making models. We propose that decision-making models can incorporate expert …
decision-making models. We propose that decision-making models can incorporate expert …
Roman Urdu sentiment analysis using transfer learning
Numerous studies have been conducted to meet the growing need for analytic tools capable
of processing increasing amounts of textual data available online, and sentiment analysis …
of processing increasing amounts of textual data available online, and sentiment analysis …
Analysis of Deep Learning Model Combinations and Tokenization Approaches in Sentiment Classification
Sentiment classification is a natural language processing task to identify opinions expressed
in texts such as product or service reviews. In this work, we analyze the effects of different …
in texts such as product or service reviews. In this work, we analyze the effects of different …
[PDF][PDF] A novel hybrid network for Arabic sentiment analysis using fine-tuned AraBERT model
The pre-trained word embedding models become widely used in Natural Language
Processing (NLP), but they disregard the context and sense of the text. We study in this …
Processing (NLP), but they disregard the context and sense of the text. We study in this …