NLP Pipeline Developer for Log and Document Analysis
Developed an NLP pipeline for extracting entities from system logs for improved data analysis. Applied TF-IDF and Word2Vec techniques to measure document similarity and classify support tickets automatically. Built text classification models to categorize and route technical support tickets efficiently. • Utilized spaCy and other NLP tools for entity recognition from textual log data. • Labeled and annotated entities within support-related documents. • Designed and implemented validation checks for accurate entity extraction. • Enabled automation of support ticket routing through document classification.