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In this paper, we present an extensible text processing pipeline that analyses various data files with uneven character distribution and large variance in structure across different data sources, identifies the extraneous information blocks in the structure, and removes them, and extracts tabular components to later parse them into a structured data format. The processed data can be made available for exploratory data analysis, anomaly detection, incident management, autonomous problem validation, root cause analysis, and many more.
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IEEE/ICACT20210237 Slide.05
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