Exploring the physicochemical properties of templates from molecular imprinting literature using interactive text mining approach

Chemometrics and Intelligent Laboratory Systems

Volumn 116, Issue , 2012, Pages 128-136

  Nantasenamat, Chanin ^a   Li, Hao ^a   Isarankura Na Ayudhya, Chartchalerm ^a   Prachayasittikul, Virapong ^a  

^a MAHIDOL UNIVERSITY   (Thailand)

Author keywords

Molecular imprinting; Named entity recognition; Neural network; Templates; Text mining

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPUTER AIDED DESIGN; CONTROLLED STUDY; DATA COLLECTION METHOD; FACTUAL DATABASE; INFORMATION PROCESSING; INFORMATION RETRIEVAL; INFORMATION SEEKING; MOLECULAR DYNAMICS; MOLECULAR IMPRINTING; MOLECULAR STABILITY; MOLECULAR WEIGHT; MOLECULE; NAMED ENTITY RECOGNITION; PHYSICAL CHEMISTRY; PREDICTIVE VALIDITY; PRIORITY JOURNAL; PROCESS OPTIMIZATION; TEMPLATE MOLECULE; TEXT MINING;

EID: 84861931691     PISSN: 01697439     EISSN: 18733239     Source Type: Journal    
DOI: 10.1016/j.chemolab.2012.05.006     Document Type: Article

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