X-ray optics through the text mining of five decades of conference proceedings

M. M. Civitani

doi:10.1117/12.2594608

7 September 2021 X-ray optics through the text mining of five decades of conference proceedings

M. M. Civitani

Proceedings Volume 11822, Optics for EUV, X-Ray, and Gamma-Ray Astronomy X; 118221G (2021) https://doi.org/10.1117/12.2594608
Event: SPIE Optical Engineering + Applications, 2021, San Diego, California, United States

Conference Poster

Abstract

Text mining is the process of transforming unstructured text into structured data for easy analysis. It uses natural language processing tools to interpret the human language and process text documents automatically. The extracted insights provide a valuable evaluation tool, which can provide systematic feedbacks and can drive machine-learning algorithms. We have applied these techniques to the SPIE proceeding papers, dedicated to the x-ray optics with special regards to the Optics for EUV, X-Ray, and Gamma-Ray Astronomy conference text data corpus, accessible through the ADS website. In particular, we worked on the collection of text formed by titles, abstracts, authors and affiliations to extract patterns, correlations and knowledge.

Citation Download Citation

M. M. Civitani "X-ray optics through the text mining of five decades of conference proceedings", Proc. SPIE 11822, Optics for EUV, X-Ray, and Gamma-Ray Astronomy X, 118221G (7 September 2021); https://doi.org/10.1117/12.2594608

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