Public Data Resource
Code used to produce terms list in the work "NLP-Driven Electron Microscopy Ontology Development"
Contact: June W. Lau.
Version: 1.0 First Released: 2024-09-05 Revised: 2024-09-05
This is a collection of code written by Maurice Curran that was used to process the Microscopy and Microanalysis conference proceeding corpus into word products described in the publication "NLP-Driven Electron Microscopy Ontology Development". The scripts are written in Python, to be used in the following order:
1. SettingUpTextFiles.py and CopyingText.py to get the raw text files;
2. SentenceConversion.py;
3. reference_remover.py;
4. testing.py and testingavg.py;
5. SentenceCreator.py;
6. matscholar_model.py to get matscholar tags;
7. training_model_gensim.py to get gensim model;
8. word2vecscript.py and gensim_visual.py;
Research Areas
NIST R&D: Information Technology: Data and informaticsMaterials: Modeling and computational material scienceMaterials: Materials characterization
Keywords: Natural language processingNLPelectron microscopycontrolled vocabularyontology
- These data are public.
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Version: 1.0 First Released: 2024-09-05 Revised: 2024-09-05
Cite this dataset
June W. Lau (2021), Code used to produce terms list in the work "NLP-Driven Electron Microscopy Ontology Development", National Institute of Standards and Technology, https://doi.org/10.18434/mds2-3198 (Accessed 2025-07-09) Repository Metadata
Machine-readable descriptions of this dataset are available in the following formats: NERDm
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