📅 2023-12-28 — Session: Developed Python algorithms for legal text processing
🕒 05:30–06:35
🏷️ Labels: Python, Text Processing, Legal Articles, Regex, Algorithm
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to develop and refine Python algorithms for extracting and analyzing legal articles from text documents, addressing challenges such as context variations, numerical sequencing, and text truncation.
Key Activities
- Developed a Python algorithm to extract legal articles using regex patterns and numerical sequences.
- Implemented functions to count words in legal articles and group them into sections of up to 2500 words.
- Created strategies to distinguish between articles and citations in legal documents, using sequence verification and context analysis.
- Diagnosed text truncation issues in article extraction and provided troubleshooting recommendations.
- Updated code to manage article numbering gaps and handle missing articles, ensuring continuous extraction.
- Created and stored text files for groups of articles, although download links were not provided due to execution environment restrictions.
Achievements
- Successfully developed and refined algorithms for legal text extraction and analysis.
- Addressed and mitigated issues related to text truncation and article numbering.
Pending Tasks
- Further testing and validation of the algorithms in diverse legal document scenarios to ensure robustness.