SUCCESS STORY Nested Tables & Machine Drawing Text Extraction For An Oil & Gas Company DOMAIN TECHNOLOGIES Oil & Gas Industry The solution was built leveraging Python and several of its libraries. KEY HIGHLIGHTS OCR: Tesseract, Tesserocr, OCRmyPDF, PyTesseract 4x faster automated text Preprocessing and Post Processing Tools: extraction using teX.ai. xPDF, Poppler, OpenCV, Pandas, Json The need for human intervention was reduced by over 80%. Table Detection and Extraction: The quality of their process had Camelot, OpenCV, LSD (line segment detection), increased by over 75%. csv, TensorFlow, FCN (Fully Convolutional Networks), CNN (Convolutional Neural Networks) ...
PharmaSUG China 2022 - Paper 115 - AD Extracting Titles and Footnotes from TLF SHELL with PYTHON Weiwei Zhang, CSPC Pharmaceutical Group Limited ABSTRACT In pharmaceutical industry, programmers usually store titles and footnotes as SAS macro variables from tracker or other document to make it convenient to generate TLFs(tables, listings and figures). But manually copying titles and footnotes from TLF shell is always time and labor consuming. This paper will provide an efficient way by using python-docx module to extract titles and footnotes automatically. We will use regular expressions to identify the first-level headings, the second-level headings and the third-level ...
htmldate: A Python package to extract publication dates from web pages 1 Adrien Barbaresi 1 Berlin-Brandenburg Academy of Sciences DOI: 10.21105/joss.02439 Software • Review Introduction • Repository • Archive Rationale Metadata extraction is part of data mining and knowledge extraction. Being able to better Editor: Daniel S. Katz qualify content allows for insights based on descriptive or typological information (e.g., con- Reviewers: tent type, authors, categories), better bandwidth control (e.g., by knowing when webpages • @geoffbacon have been updated), or optimization of indexing (e.g., caches, language-based heuristics). It • @proycon is useful for applications including ...
Tralatura: A Web Scraping Library and Command-Line Tool for Text Discovery and Extraction Adrien Barbaresi Center for Digital Lexicography of German (ZDL) Berlin-Brandenburg Academy of Sciences (BBAW) Jgerstr. 22-23, 10117 Berlin, Germany barbaresi@bbaw.de Abstract Asignicant challenge lies in the ability to ex- Anessential operation in web corpus construc- tract and pre-process web data to meet scientic tion consists in retaining the desired content expectations with respect to text quality. An es- while discarding the rest. Another challenge sential operation in corpus construction consists nding one’s way through websites. This ar- in retaining the desired content while discarding ticle ...
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