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Turning Your Data Swamp into Gold: A Developer’s Guide to NLP on Legacy Logs
Manage episode 524915696 series 3474670
This story was originally published on HackerNoon at: https://hackernoon.com/turning-your-data-swamp-into-gold-a-developers-guide-to-nlp-on-legacy-logs.
A practical NLP pipeline for cleaning legacy maintenance logs using normalization, TF-IDF, and cosine similarity to detect fraud and improve data quality.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data-analysis, #atypical-data, #maintenance-log-analysis, #nlp-cleaning-pipeline, #python-text-normalization, #enterprise-data-quality, #tf-idf-vectorization, #data-cleaning-automation, and more.
This story was written by: @dippusingh. Learn more about this writer by checking @dippusingh's about page, and for more stories, please visit hackernoon.com.
The NLP Cleaning Pipeline is a tool to clean, vectorize, and analyze unstructured "free-text" logs. It uses Python 3.9+ and Scikit-Learn for vectorization and similarity metrics. The pipeline uses Unicode normalization, the Thesaurus, and case folding to remove noise.
154 episodes
Manage episode 524915696 series 3474670
This story was originally published on HackerNoon at: https://hackernoon.com/turning-your-data-swamp-into-gold-a-developers-guide-to-nlp-on-legacy-logs.
A practical NLP pipeline for cleaning legacy maintenance logs using normalization, TF-IDF, and cosine similarity to detect fraud and improve data quality.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data-analysis, #atypical-data, #maintenance-log-analysis, #nlp-cleaning-pipeline, #python-text-normalization, #enterprise-data-quality, #tf-idf-vectorization, #data-cleaning-automation, and more.
This story was written by: @dippusingh. Learn more about this writer by checking @dippusingh's about page, and for more stories, please visit hackernoon.com.
The NLP Cleaning Pipeline is a tool to clean, vectorize, and analyze unstructured "free-text" logs. It uses Python 3.9+ and Scikit-Learn for vectorization and similarity metrics. The pipeline uses Unicode normalization, the Thesaurus, and case folding to remove noise.
154 episodes
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