Comparative evaluation of deep learning and machine learning techniques for sentiment analysis of electronic product review data [PDF]
ITM Web of ConferencesThe primary thoughts, perceptions, attitudes, feedback, and even emotions expressed by people on social networking and e-commerce sites are the primary focus of sentiment analysis also referred to as opinion mining.
Nagelli Archana, Saleena B., Prakash B.
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Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019 KDD ...
Babaev, Dmitrii +3 more
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Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Advanced Science, EarlyView.Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Surveying the prediction of risks in cryptocurrency investments using recurrent neural networks
Open EngineeringDecentralized cryptocurrencies have received much attention over the last few years. Bitcoin (BTC) has enabled straight online expenditures without the need for centralized financial institutions.
Qasim Abdulkadhim Rihab +2 more
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Machine learning approach for confirmation of COVID-19 cases: positive, negative, death and release
Iberoamerican Journal of Medicine, 2020 Introduction: Corona Virus Infectious Disease (COVID-19) is the infectious disease. The COVID-19 disease came to earth in early 2019. It is expanding exponentially throughout the world and affected an enormous number of human beings starting from the ...
Shawni Dutta, Samir Kumar Bandyopadhyay
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The Future of Tax Reform: A Rejoinder to Professor Zelinsky [PDF]
, 1987 Optical character recognition (OCR) is a fundamental problem in computer vision. Research studies have shown significant progress in classifying printed characters using deep learning-based methods and topologies.
Yorio, Edward
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Reverse Nearest Neighbor Heat Maps: A Tool for Influence Exploration
, 2016 We study the problem of constructing a reverse nearest neighbor (RNN) heat map by finding the RNN set of every point in a two-dimensional space. Based on the RNN set of a point, we obtain a quantitative influence (i.e., heat) for the point.
Du, Xiaoyong +4 more
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MAM-RNN: Multi-level Attention Model Based RNN for Video Captioning [PDF]
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017 Visual information is quite important for the task of video captioning. However, in the video, there are a lot of uncorrelated content, which may cause interference to generate a correct caption. Based on this point, we attempt to exploit the visual features which are most correlated to the caption.
Xuelong Li, Bin Zhao, Xiaoqiang Lu
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Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare
Advanced Science, EarlyView.Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu +10 more
wiley +1 more source
LSTM based Ensemble Network to enhance the learning of long-term dependencies in chatbot
International Journal for Simulation and Multidisciplinary Design Optimization, 2020 A chatbot is a software that can reproduce a discussion portraying a specific dimension of articulation among people and machines utilizing Natural Human Language.
Patil Shruti +3 more
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