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Editorial
. 2022 Jun 15:7:911070.
doi: 10.3389/frma.2022.911070. eCollection 2022.

Editorial: Mining Scientific Papers, Volume II: Knowledge Discovery and Data Exploitation

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Editorial

Editorial: Mining Scientific Papers, Volume II: Knowledge Discovery and Data Exploitation

Iana Atanassova et al. Front Res Metr Anal. .
No abstract available

Keywords: academic search; citation content analysis; computational linguistics; natural language processing; scientific papers; scientometrics; text mining.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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  • Editorial on the Research Topic Mining Scientific Papers, Volume II: Knowledge Discovery and Data Exploitation

References

    1. Atanassova I., Bertin M., Mayr P. (2019). Editorial: mining scientific papers: NLP-enhanced bibliometrics. Front. Res. Metr. Analyt. 4:911070. 10.3389/frma.2022.911070 - DOI - PMC - PubMed
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    1. Cabanac G., Frommholz I., Mayr P. (2020b). Scholarly literature mining with information retrieval and natural language processing: preface. Scientometrics 125, 2835–2840. 10.1007/s11192-020-03763-4 - DOI - PMC - PubMed
    1. Ermakova L., Bordignon F., Turenne N., Noel M. (2018). Is the abstract a mere teaser? Evaluating generosity of article abstracts in the environmental sciences. Front. Res. Metr. Analyt. 3:16. 10.3389/frma.2018.00016 - DOI
    1. He J., Chen C. (2018). Temporal representations of citations for understanding the changing roles of scientific publications. Front. Res. Metr. Analyt. 3:27. 10.3389/frma.2018.00027 - DOI

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