“…In this analysis, there are 30 clusters, namely: Cluster 1 consists of 104 items, Cluster 2 consists of 67 items, Cluster 3 consists of 66 items, Cluster 4 consists of 63 items, Cluster 5 consists of 51 items, Cluster 6 consists of 45 items , Cluster 7 consists of 42 items, Cluster 8 consists of 39 items, Cluster 9 consists of 38 items, Cluster 10 consists of 37 items, Cluster 11 consists of 36 items, Cluster 12 consists of 36 items, Cluster 13 consists of 36 items, Cluster 14 consists of 34 items, Cluster 15 consists of 33 items, Cluster 16 consists of 33 items, Cluster 17 consists of 30 items, Cluster 18 consists of 22 items, Cluster 19 consists of 22 items, Cluster 20 consists of 22 items, Cluster 21 consists of 20 items, Cluster 22 consists of 20 items, Cluster 23 consists of 19 items, Cluster 24 consists of 19 items, Cluster 25 consists of 18 items, Cluster 26 consists of 18 items, Cluster 27 consists of 15 items, Cluster 28 consists of 13 items, Cluster 29 consists of 1 item and Cluster 30 consists of 1 item.Based on the co-occurrence analysis above, "literature, novel, translation and identity" are the keywords that appear the most. This clustering also identifies themes in fiction(Omar, 2021). In other words, searching for keywords shows various research themes in literary works.…”