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The phrase "authorship analysis" is correct and usable in written English.
It can be used in contexts related to examining or studying the authorship of a text, such as in literary studies, forensic linguistics, or academic research.
Example: "The researchers conducted an authorship analysis to determine the true writer of the disputed manuscript."
Alternatives: "authorship attribution" or "author identification".
Exact(58)
A critical aspect of malware forensics is authorship analysis.
Authorship analysis is then performed using a decision tree classifier.
Traditionally, authorship analysis has been performed through manual analysis.
The Arizona Authorship Analysis (AzAA) Portal was developed primarily to support efforts in authorship analysis for terrorism research, cybercrime investigation, and intelligence analysis.
Second, we performed an authorship analysis to identify the most prolific authors.
Authorship analysis is useful when authorship attribution is uncertain, unknown, or otherwise obfuscated.
These results demonstrate a high usability of the portal in supporting authorship analysis.
Here we demonstrate an automated approach for authorship analysis of web contents.
However, there are several basic hurdles researchers and practitioners must overcome to perform automated authorship analysis.
Similar(2)
Co-authorship analysis showed that university industry collaboration has grown over time.
They found that women play a more marginal role in the collaboration networks identified by their co-authorship analysis, and it's not just men to blame: Women also co-authored multiple papers with female colleagues less often than chance alone would dictate.
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