Results 71 to 80 of about 208,737 (313)
Text Mining: Natural Language techniques and Text Mining applications [PDF]
, 1998 In the general framework of knowledge discovery, Data Mining techniques are usually dedicated to information extraction from structured databases. Text Mining techniques, on the other hand, are dedicated to information extraction from unstructured textual data and Natural Language Processing (NLP) can then be seen as an interesting tool for the ...
Rajman, M., Besançon, R.
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Pbm: A new dataset for blog mining [PDF]
arXiv, 2012 Text mining is becoming vital as Web 2.0 offers collaborative content creation and sharing. Now Researchers have growing interest in text mining methods for discovering knowledge. Text mining researchers come from variety of areas like: Natural Language Processing, Computational Linguistic, Machine Learning, and Statistics.
arxiv
Computational Simulations of Metal–Organic Frameworks to Enhance Adsorption Applications
Advanced Materials, EarlyView.This review highlights the significance of molecular simulations in expanding the understanding of metal–organic frameworks (MOFs) and improving their gas adsorption applications. The historical development and implementation of molecular simulations in the MOF field are given, high‐throughput computational screening studies used to unlock the ...
Hilal Daglar +3 more
wiley +1 more source
A Review on Text Mining in Data Mining
International Journal on Soft Computing, 2016 Data mining is the knowledge discovery in databases and the gaol is to extract patterns and knowledge from large amounts of data. The important term in data mining is text mining. Text mining extracts the quality information highly from text. Statistical pattern learning is used to high quality information.
Yogapreethi.N, Maheswari.S
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Advanced Materials, EarlyView.The SciAgents AI model drives hypothesis generation by harnessing multi‐agent graph reasoning, extracting insights from knowledge graphs constructed from scientific papers. Each agent plays a specific role: the Ontologist defines concepts, the Scientists draft and refine proposals, and the Critic reviews.
Alireza Ghafarollahi, Markus J. Buehler
wiley +1 more source
Typesafe Modeling in Text Mining [PDF]
arXiv, 2011 Based on the concept of annotation-based agents, this report introduces tools and a formal notation for defining and running text mining experiments using a statically typed domain-specific language embedded in Scala. Using machine learning for classification as an example, the framework is used to develop and document text mining experiments, and to ...
arxiv
Text mining resources for the life sciences [PDF]
Database, 2016 Text mining is a powerful technology for quickly distilling key information from vast quantities of biomedical literature. However, to harness this power the researcher must be well versed in the availability, suitability, adaptability, interoperability and comparative accuracy of current text mining resources.
Przybyła, Piotr +7 more
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An Analysis of Elusive Relationships in Floating Zone Growth Using Data Mining Techniques
Advanced Theory and Simulations, EarlyView.Ultra‐pure silicon single‐crystals can be grown by the Floating Zone (FZ) method. This study investigates intricate relationships between process stability measures and multiple growth parameters by applying data mining techniques on FZ simulations. Regression Trees identified multivariate relationships that help explaining complex interactions between
Lucas Vieira +3 more
wiley +1 more source
Applications of text mining in services management: A systematic literature review
International Journal of Information Management Data Insights, 2021 The importance of text mining is increasing in services management as the access to big data is increasing across digital platforms enabling such services.
Sunil Kumar +2 more
doaj
Scalable Text Mining with Sparse Generative Models [PDF]
arXiv, 2016 The information age has brought a deluge of data. Much of this is in text form, insurmountable in scope for humans and incomprehensible in structure for computers. Text mining is an expanding field of research that seeks to utilize the information contained in vast document collections.
arxiv