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Deep learning on medical image analysis
Medical image analysis plays an irreplaceable role in diagnosing, treating, and monitoring
various diseases. Convolutional neural networks (CNNs) have become popular as they can …
various diseases. Convolutional neural networks (CNNs) have become popular as they can …
Sentiment analysis using deep learning techniques: a comprehensive review
With the exponential growth of social media platforms and online communication, the
necessity of using automated sentiment analysis techniques has significantly increased …
necessity of using automated sentiment analysis techniques has significantly increased …
Advancing fake news detection: Hybrid deep learning with fasttext and explainable ai
The widespread propagation of misinformation on social media platforms poses a significant
concern, prompting substantial endeavors within the research community to develop robust …
concern, prompting substantial endeavors within the research community to develop robust …
Multi-class hate speech detection in the Norwegian language using FAST-RNN and multilingual fine-tuned transformers
The growth of social networks has provided a platform for individuals with prejudiced views,
allowing them to spread hate speech and target others based on their gender, ethnicity …
allowing them to spread hate speech and target others based on their gender, ethnicity …
[HTML][HTML] A combined deep CNN-RNN network for rainfall-runoff modelling in Bardha Watershed, India
In recent years, there has been a growing interest in using artificial intelligence (AI) for
rainfall-runoff modelling, as it has shown promising adaptability in this context. The current …
rainfall-runoff modelling, as it has shown promising adaptability in this context. The current …
A robust hybrid approach with product context-aware learning and explainable ai for sentiment analysis in amazon user reviews
In the ever-changing world of business, gaining valuable insights from customer
perspectives is crucial. Consumer evaluations are crucial performance indicators for …
perspectives is crucial. Consumer evaluations are crucial performance indicators for …
Ensemble based high performance deep learning models for fake news detection
Social media has emerged as a dominant platform where individuals freely share opinions
and communicate globally. Its role in disseminating news worldwide is significant due to its …
and communicate globally. Its role in disseminating news worldwide is significant due to its …
A hybrid deep learning approach for sentiment analysis in product reviews
Product reviews play a crucial role in providing valuable insights to consumers and
producers. Analyzing the vast amount of data generated around a product, such as posts …
producers. Analyzing the vast amount of data generated around a product, such as posts …
Sentiment analysis of COP9-related tweets: a comparative study of pre-trained models and traditional techniques
S Elmitwalli, J Mehegan - Frontiers in big Data, 2024 - frontiersin.org
Introduction Sentiment analysis has become a crucial area of research in natural language
processing in recent years. The study aims to compare the performance of various sentiment …
processing in recent years. The study aims to compare the performance of various sentiment …
Automated text analysis of organic chemistry students' written hypotheses
Generating a testable hypothesis is a necessary skill for engaging in science, requiring both
general reasoning skills and specific content knowledge of the phenomenon being …
general reasoning skills and specific content knowledge of the phenomenon being …