giving a database table with huge data in it, what is the best practice to remove noise text such as :
- fghfghfghfg
- qsdqsdqsd
- rtyrtyrty
that noise is stored into the “name” field.
I’m working on data with Java standard structures.
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Well, you can build a classifier using NLP methods, and train it on examples of noise and not-noise. One case of that you can take is the language detector from Apache Tika. If the language detector says ‘beats me’ that might be good enough.