News Article Teaser Tweets and How to Generate Them
Table 6: The table shows clusters of domains and corresponding frequent-keywords and average article size (words) in them.
['[EMPTY]', 'Cluster 0', 'Cluster 1', 'Cluster 2', 'Cluster 3', 'Cluster 4', 'Cluster 5', 'Cluster 6', 'Cluster 7']
We rely on elbow criterion and uniformity among keywords in the clusters to determine the number of clusters. The uniformity is validated by manual inspection of 100 most-frequent keywords. Clustering the corpus into eight domains resulted in the final abrupt decrease of the Sum of Squared Error (SSE) as well as uniformly distributed keyword sets.