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Hello,
im currently facing a Python clustering problem. I would like to extract from a column (say "comment") from the table "rawdata" the individual comments from customers, take out stop words and then cluster by similar sounding terms. Similar sounding because umlauts like ä,ö... are not always saved/ displayed correctly.
Unfortunately, i cant get a visual to work here. Can someone help me here?
Code I tried to use:
# The following code for creating a data frame and removing duplicate rows is always executed and serves as a preamble to your script:
| ID | Comment |
| 1 | Kündigung rückgängig machen |
| 2 | Invoice |
Your Python visual needs to plot something to the default renderer. What are you planning to display once you are done?
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