Explore how frequent pattern mining can be applied to text mining to discover meaningful phrases.
In this assignment, you will first run LDA on a corpus made up of titles from 5 domains' conference papers. Based on the results from
LDA, a topic (representing a particular domain) is assigned to each word in each title. Then you write a frequent mining algorithm to mine
frequent patterns from each topic to get meaningful phrases. The mined frequent patterns may not necessarily be *meaningful* phrases
for the topic. So you will consider the question how to extract meaningful ones out of all the frequent patterns. The final goal is to output
highly representative phrases for each topic.
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