FareedKhan-dev/AI-outlier-detection
Outlier Detection with AI + ML
This tool helps you uncover unusual or 'outlier' text documents that might otherwise skew your analysis or lead to incorrect conclusions. You provide raw, unstructured text data, and it identifies and explains why certain documents are anomalies based on their meaning, not just statistical patterns. It's designed for data analysts, researchers, or anyone working with large text datasets who needs to ensure data quality and accuracy.
No commits in the last 6 months.
Use this if you need to find semantically distinct or anomalous text documents within a large collection and understand the reasons behind their classification as outliers.
Not ideal if you are looking for simple statistical outliers in numerical data or if your primary goal is to find exact duplicates rather than conceptual anomalies.
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14
Forks
5
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Sep 12, 2025
Commits (30d)
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