Difference between revisions of "File:Fig10 Kalathil FrontInResMetAnal2018 2.jpg"

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==Summary==
{{Information
|Description='''Figure 10.''' Three term clusters as an illustration of results and filtering step. Analysis of the terms and associated abstracts from the “top” three photovoltaic term clusters reveal that two are relevant while one is not.
|Source={{cite journal |title=Application of text analytics to extract and analyze material–application pairs from a large scientific corpus |journal=Frontiers in Research Metrics and Analytics |author=Kalathil, N.; Byrnes, J.J.; Randazzese, L.; Hartnett, D.P.; Freyman, C.A. |volume=2 |pages=15 |year=2018 |doi=10.3389/frma.2017.00015}}
|Author=Kalathil, N.; Byrnes, J.J.; Randazzese, L.; Hartnett, D.P.; Freyman, C.A.
|Date=2018
|Permission=[http://creativecommons.org/licenses/by/4.0/ Creative Commons Attribution 4.0 International]
}}
== Licensing ==
== Licensing ==
{{cc-by-4.0}}
{{cc-by-4.0}}

Latest revision as of 19:20, 22 May 2018

Summary

Description

Figure 10. Three term clusters as an illustration of results and filtering step. Analysis of the terms and associated abstracts from the “top” three photovoltaic term clusters reveal that two are relevant while one is not.

Source

Kalathil, N.; Byrnes, J.J.; Randazzese, L.; Hartnett, D.P.; Freyman, C.A. (2018). "Application of text analytics to extract and analyze material–application pairs from a large scientific corpus". Frontiers in Research Metrics and Analytics 2: 15. doi:10.3389/frma.2017.00015. 

Date

2018

Author

Kalathil, N.; Byrnes, J.J.; Randazzese, L.; Hartnett, D.P.; Freyman, C.A.

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Creative Commons Attribution 4.0 International

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