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How to manage hot topic analytics

Hot topics are calculated by an algorithm that takes into account the words that appear in a given set of records (for example, in support requests or in incidents), and finds the topics in those records by looking for correlations between subsets of the words. The calculation takes into account the textual fields of the records (for example, title, description, and solution). The list of topics is calculated by removing extraneous items such as email addresses, single letters, common and rare words, frequently appearing hyphenated terms, and stop list words.

The resulting calculated number of topics depends on the number of records. Only the largest topics are presented in the hot topics map.

Number of records Number of topics calculated
Fewer than 50 records 3 topics
50-200 records 10 topics
200-500 records 20 topics
500-1000 records 30 topics
More than 1000 records 40 topics

The minimum number of records that is used for calculation is 20. The resulting topics are displayed in a hot topics map, showing the three or four most significant terms for each topic.

After the calculation, if a certain word is incorrectly or needlessly displayed in the hot topics map, it can be removed by adding it to the stop list.

Examples of when a stop list should be updated:

  • An office location (for example, London) appears in the topics map but has no significance. Using the Add to stop list option, you would add "London" to the user-defined stop list.

  • A known issue does not appear as a topic even though you believe it should, as it appears in many records. Using the Manage stop list option, you would search for this word and remove it from the relevant system-defined stop-list, if found.