This is part three of a six-part series on text mining in RapidMiner. This video describes how to find association rules in a collection of documents. An example would be if a job posting includes "data" and "mining" then it is also likely to include "RapidMiner". This is known as market basket analysis when applied to grocery stores :)
In this example, it can be useful for finding phrases and concepts that are important to job recruiters. You can use these phrases and concepts in your cover letter and resume, and increase your chances of getting them read.
- reading documents from a database
- processing the text
- creating a word vector
- finding frequent itemsets using the FP-Growth algorithm
- finding association rules
- visualizing association rules
If you're not familiar with RapidMiner, see my other videos on my Youtube Channel.
Up next, calculating the similarity between documents.