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 Improving Journal



 Acceptance Rates












 Historically, evaluating a journal article for   SPi Global developed the Transfer Desk Agent
 publication has required a great deal editorial   in December of 2017. It uses a machine
 knowledge, subject matter expertise, and a   learning framework to analyze all of the
 significant amount time. The Authors make   articles published within a publisher’s
 an educated guess as to which journals are   catalog of journals. The tool creates a unique
 the best fit for their content, while scholarly   fingerprint of each journal, which allows it
 publishers must read every submission   to better match newly submitted articles to
 thoroughly to determine whether or not   the appropriate journal based on the subject
 the paper meets its quality standards or   matter. The tool recommends alternative
 aligns with its particular subject matter focus.   journals where a rejected article may align
 This approach is time intensive and may not   better, decreasing the likelihood of an
 even result in a published article for the   unfruitful review process.
 author or publisher.
 “Many publishers’ rejection rates are
 A more efficient evaluation process is   fairly high,” explains Jishnu Gupta, Chief
 possible with artificial intelligence, explains   Technology Officer at SPi Global. “That means
 Venky. “Usually, when a manuscript gets   they’re losing a lot of opportunity and revenue   In addition to helping publishers retain valuable content, this technology improves the scholarly
 rejected, publishers risk losing revenue, the   when they reject articles that could be a fit for   research landscape. Publishers can disseminate information to the scholarly community faster by
 author, and his/her content to a competitive   other journals.”  automatically surfacing the best journal submissions. Faster publication times also help publishers
 journal,” says Sonathi. “In order to address this   keep pace with the increased volume of research in the scholarly community and ensures researchers
 issue, we developed our Transfer Desk Agent,   Using the Transfer Desk Agent, one journal   are up-to-date.
 which suggests alternative journals within the   publisher was able to increase its acceptance
 publisher’s catalog that may be a better fit.”  rate by 20%. “That also means 20% more   The applications of this technology are not limited to scholarly publishing, adds Venky. “As a concept, it
 revenue for that publisher,” says Jishnu.  can be expanded to any business operation that involves identifying incoming textual information and

        routing it to an appropriate channel. For example, a customer service team that receives complaints via
        emails can use the Transfer Desk Agent concept to route emails to the most appropriate team.”













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