April 2017
Beginner to intermediate
358 pages
9h 30m
English
Content preview from Learning Data Mining with Python - Second Edition
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Temporal analysis
Larger exercise!
The code we developed here can be rerun over many months. By adding some tags to each cluster, you can track which topics stay active over time, getting a longitudinal viewpoint of what is being discussed in the world news. To compare the clusters, consider a metric such as the adjusted mutual information score, which was linked to the scikit-learn documentation earlier. See how the clusters change after one month, two months, six months, and a year.
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