Troubleshooting is a labor-intensive task that includes repetitive solutions to similar problems. This task can be partially or fully automated using text-similarity matching to find previous solutions, lowering the workload of technicians. We develop a systematic literature review to identify the best approaches to solve the problem of troubleshooting automation and classify incidents effectively. We identify promising approaches and point in the direction of a comprehensive set of solutions that could be employed in solving the troubleshooting automation problem. 1 Available at https://archive.ics.uci.edu/ml/ datasets/reuters-21578+text+categorization+ collection. Accessed in May 2021. 2 Available at https://archive.ics.uci.edu/ml/ datasets/Twenty+Newsgroups. Accessed in May 2021.
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