Results 121 to 130 of about 24,198 (261)
Fusion of the word2vec word embedding model and cluster analysis for the communication of music intangible cultural heritage. [PDF]
Sci Rep, 2023 Ning H, Chen Z.
europepmc +1 more source
Local Homology of Word Embeddings
CoRR, 2018 Topological data analysis (TDA) has been widely used to make progress on a number of problems. However, it seems that TDA application in natural language processing (NLP) is at its infancy. In this paper we try to bridge the gap by arguing why TDA tools are a natural choice when it comes to analysing word embedding data.
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Closed‐Loop Solid‐State Synthesis Planning for Materials Discovery With Large Language Models
Advanced Materials, EarlyView.Leveraging literature data, we build a large‐language‐model‐driven workflow that extracts synthesis steps from 4407 papers, retrieves similar precedents, and generates candidate solid‐state synthesis recipes. The system benchmarks against ground‐truth and then operates in a closed loop with experiments to synthesize oxy‐selenide electrolyte materials ...
Dong Won Jeon +9 more
wiley +1 more source
Comparative Study for Sentiment Analysis of Financial Tweets with Deep Learning Methods
Applied SciencesNowadays, Twitter is one of the most popular social networking services. People post messages called “tweets”, which may contain photos, videos, links and text. With the vast amount of interaction on Twitter, due to its popularity, analyzing Twitter data
Erkut Memiş +4 more
doaj +1 more source
Advanced Materials Interfaces, EarlyView.Nonwoven textile architectures are emerging as versatile platforms for next‐generation energy storage, demonstrating how tailored materials and fabrication strategies enhance ion transport, conductivity, flexibility, and scalability for high‐performance sustainable devices.
Tarikul Islam +6 more
wiley +1 more source
Material Before Morphology: Substrate‐Dependent Mechanical Tuning of Radular Teeth
Advanced Materials Interfaces, EarlyView.Substrate‐dependent material tuning in Clausilia radular teeth. Closely related taxa retain a conserved gross tooth morphology, but differ in elemental composition and mechanical properties according to feeding substrate. Rock‐associated taxa show increased Ca–Si enrichment and higher stiffness and hardness, especially in the central radular region ...
Ida Lilienthal +3 more
wiley +1 more source
Validating the representation of distance between infarct diseases using word embedding. [PDF]
BMC Med Inform Decis Mak, 2022 Yokokawa D +7 more
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Recent Advances of Slip Sensors for Smart Robotics
Advanced Materials Technologies, EarlyView.This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source
Retracted: An Automated Toxicity Classification on Social Media Using LSTM and Word Embedding. [PDF]
Comput Intell Neurosci, 2023 Neuroscience CIA.
europepmc +1 more source
Bayesian Neural Word Embedding
Proceedings of the AAAI Conference on Artificial Intelligence, 2017 Recently, several works in the domain of natural language processing presented successful methods for word embedding. Among them, the Skip-Gram with negative sampling, known also as word2vec, advanced the state-of-the-art of various linguistics tasks. In this paper, we propose a scalable Bayesian neural word embedding algorithm.
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