similarity
Best Answer
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BalazsBarany Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified ExpertPosts:953UnicornHi!
You would use these operators:
- Read Database for getting the data
-流程文件来回m Data (from the Text Processing extension) to create a document vector
- A second Read Database (or different data source) for the data to compare
-流程文件来回m Data, with the wor (Wordlist) output from the first one connected to the input of this one. This makes sure that the tables have the same structure
- Cross Distances
Then you would select the documents with the smallest distance (= largest similarity).
Regards,
Balázs
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