It involves detecting semantic based anomaly in text
using a technique called sequential exception technique
this technique was used to detect anomaly on outlier
but i want to enhance it and make it detect semantic based anomalous datasets
Hi,
I'm Almos, an expert in data mining and analysis. So you need to extract anomalous text fragments based on some reference "unanomalous" text. I think an n-gram method would be sufficient.
Relevant Skills and Experience
Python
Proposed Milestones
$244 USD - Finished software
$244 USD in 3 days
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