A computer-implemented method performed by a computer system having a memory and at least one hardware processor, the computer-implemented method comprising: obtaining a log file comprising a plurality of log entries, each log entry in the plurality of log entries comprising a corresponding error message; identifying a set of unique words from the error messages of the plurality of log entries; for each error message in the error messages of the plurality of log entries, computing a corresponding term-frequency vector based on a corresponding frequency of occurrence for each unique word of the set of unique words in the error message; for each error message in the error messages of the plurality of log entries, computing a corresponding similarity measure between the term-frequency vectors of the error message and every other error message of the plurality of log entries; characterized in that the method further comprises: for each error message in the error messages of the plurality of log entries, computing a corresponding score based on a sum of the corresponding similarity measures between the term-frequency vectors of the error message and every other error message of the plurality of log entries; and displaying an indication of one or more of the error messages of the plurality of log entries on a computing device based on the corresponding scores for the one or more of the error messages of the plurality of log entries. obtaining a log file comprising a plurality of log entries, each log entry in the plurality of log entries comprising a corresponding error message; identifying a set of unique words from the error messages of the plurality of log entries; for each error message in the error messages of the plurality of log entries, computing a corresponding term-frequency vector based on a corresponding frequency of occurrence for each unique word of the set of unique words in the error message; for each error message in the error messages of the plurality of log entries, computing a corresponding similarity measure between the term-frequency vectors of the error message and every other error message of the plurality of log entries; characterized in that the method further comprises: for each error message in the error messages of the plurality of log entries, computing a corresponding score based on a sum of the corresponding similarity measures between the term-frequency vectors of the error message and every other error message of the plurality of log entries; and displaying an indication of one or more of the error messages of the plurality of log entries on a computing device based on the corresponding scores for the one or more of the error messages of the plurality of log entries. for each error message in the error messages of the plurality of log entries, computing a corresponding score based on a sum of the corresponding similarity measures between the term-frequency vectors of the error message and every other error message of the plurality of log entries; and displaying an indication of one or more of the error messages of the plurality of log entries on a computing device based on the corresponding scores for the one or more of the error messages of the plurality of log entries.